import pandas as pd
import numpy as np
import operator
import time
import random
from scipy.io import arff
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.preprocessing import LabelEncoder
from sklearn.inspection import permutation_importance
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import confusion_matrix
from sklearn.metrics import balanced_accuracy_score
from sklearn import metrics
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)

from sklearn.model_selection import train_test_split
from sklearn.utils import resample
from imblearn.over_sampling import SMOTE
from sklearn.impute import KNNImputer
from sklearn.model_selection import GridSearchCV

from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import AdaBoostClassifier
from xgboost import XGBClassifier
from lightgbm import LGBMClassifier

Importing Datasets

year_1 = arff.loadarff("1year.arff")
year1 = pd.DataFrame(year_1[0])

year_2 = arff.loadarff("2year.arff")
year2 = pd.DataFrame(year_2[0])

year_3 = arff.loadarff("3year.arff")
year3 = pd.DataFrame(year_3[0])

year_4 = arff.loadarff("4year.arff")
year4 = pd.DataFrame(year_4[0])

year_5 = arff.loadarff("5year.arff")
year5 = pd.DataFrame(year_5[0])

 df_list = [year1,year2,year3,year4,year5]
for i in range(5):
    print("For Year "+str(i+1))
    display(df_list[i].head())
    print("---------------------------------------------------")

For Year 1

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
0	0.200550	0.37951	0.39641	2.0472	32.3510	0.38825	0.249760	1.33050	1.1389	0.50494	0.249760	0.65980	0.166600	0.249760	497.42	0.73378	2.6349	0.249760	0.149420	43.370	1.2479	0.21402	0.119980	0.47706	0.50494	0.60411	1.45820	1.7615	5.9443	0.11788	0.149420	94.14	3.8772	0.56393	0.21402	1.7410	593.2700	0.50591	0.128040	0.662950	0.051402	0.128040	114.42	71.050	1.00970	1.52250	49.394	0.185300	0.110850	2.0420	0.37854	0.25792	2.2437	2.2480	348690.0	0.121960	0.39718	0.87804	0.001924	8.4160	5.1372	82.658	4.4158	7.4277	b'0'
1	0.209120	0.49988	0.47225	1.9447	14.7860	0.00000	0.258340	0.99601	1.6996	0.49788	0.261140	0.51680	0.158350	0.258340	677.96	0.53838	2.0005	0.258340	0.152000	87.981	1.4293	0.24806	0.123040	NaN	0.39542	0.43992	88.44400	16.9460	3.6884	0.26969	0.152000	122.17	2.9876	2.98760	0.20616	1.6996	NaN	0.49788	0.121300	0.086422	0.064371	0.145950	199.49	111.510	0.51045	1.12520	100.130	0.237270	0.139610	1.9447	0.49988	0.33472	17.8660	17.8660	2304.6	0.121300	0.42002	0.85300	0.000000	4.1486	3.2732	107.350	3.4000	60.9870	b'0'
2	0.248660	0.69592	0.26713	1.5548	-1.1523	0.00000	0.309060	0.43695	1.3090	0.30408	0.312580	0.64184	0.244350	0.309060	794.16	0.45961	1.4369	0.309060	0.236100	73.133	1.4283	0.30260	0.189960	NaN	0.28932	0.37282	86.01100	1.0627	4.3749	0.41929	0.238150	176.93	2.0630	1.42740	0.31565	1.3090	2.3019	0.51537	0.241140	0.322020	0.074020	0.231170	165.51	92.381	0.94807	1.01010	96.372	0.291810	0.222930	1.0758	0.48152	0.48474	1.2098	2.0504	6332.7	0.241140	0.81774	0.76599	0.694840	4.9909	3.9510	134.270	2.7185	5.2078	b'0'
3	0.081483	0.30734	0.45879	2.4928	51.9520	0.14988	0.092704	1.86610	1.0571	0.57353	0.092704	0.30163	0.094257	0.092704	917.01	0.39803	3.2537	0.092704	0.071428	79.788	1.5069	0.11550	0.062782	0.17193	0.57353	0.36152	0.94076	1.9618	4.6511	0.14343	0.071428	91.37	3.9948	0.37581	0.11550	1.3562	NaN	0.57353	0.088995	0.401390	0.069622	0.088995	180.77	100.980	0.28720	1.56960	84.344	0.085874	0.066165	2.4928	0.30734	0.25033	2.4524	2.4524	20545.0	0.054015	0.14207	0.94598	0.000000	4.5746	3.6147	86.435	4.2228	5.5497	b'0'
4	0.187320	0.61323	0.22960	1.4063	-7.3128	0.18732	0.187320	0.63070	1.1559	0.38677	0.187320	0.33147	0.121820	0.187320	1133.20	0.32211	1.6307	0.187320	0.115530	57.045	NaN	0.19832	0.115530	0.18732	0.38677	0.32211	1.41380	1.1184	4.1424	0.27884	0.115530	147.04	2.4823	0.32340	0.19832	1.6278	11.2470	0.43489	0.122310	0.293040	0.096680	0.122310	141.62	84.574	0.73919	0.95787	65.936	0.188110	0.116010	1.2959	0.56511	0.40285	1.8839	2.1184	3186.6	0.134850	0.48431	0.86515	0.124440	6.3985	4.3158	127.210	2.8692	7.8980	b'0'

---------------------------------------------------
For Year 2

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
0	0.202350	0.46500	0.240380	1.5171	-14.547	0.510690	0.25366	0.91816	1.15190	0.42695	0.253660	0.545610	0.178650	0.25366	603.20	0.605110	2.1505	0.25366	0.161050	42.697	1.0806	0.223490	0.128480	0.63105	0.426950	0.494780	1.6345	0.815590	6.0038	0.22803	0.161050	124.100	2.94120	0.48063	0.223490	1.62580	5095.3000	0.42705	0.14190	0.464890	0.060856	0.14190	113.36	70.661	1.09830	1.12070	49.181	0.195770	0.12430	1.51670	0.46490	0.34000	1.4486	1.4490	242500.0	0.13184	0.473950	0.86816	0.00024	8.5487	5.16550	107.740	3.38790	5.3440	b'0'
1	0.030073	0.59563	0.186680	1.3382	-37.859	-0.000319	0.04167	0.67890	0.32356	0.40437	0.042199	0.075493	0.145630	0.04167	4613.90	0.079109	1.6789	0.04167	0.128780	239.120	NaN	0.042196	0.092943	NaN	0.029802	0.059639	79.7520	0.714320	4.0672	1.80520	0.128780	708.740	0.51499	0.47725	0.039298	0.32356	NaN	0.40437	0.12146	0.028211	0.416710	0.13041	815.69	576.570	0.14187	0.95419	272.170	0.036746	0.11357	1.24010	0.55197	1.94180	1.5473	1.5473	2179.5	0.12146	0.074369	0.87235	0.00000	1.5264	0.63305	622.660	0.58619	1.2381	b'0'
2	0.257860	0.29949	0.665190	3.2211	71.799	0.000000	0.31877	2.33200	1.67620	0.69841	0.324530	1.064400	0.197450	0.31877	330.29	1.105100	3.3390	0.31877	0.190170	84.246	1.1146	0.304660	0.153830	NaN	0.607750	0.901690	52.8860	18.836000	3.7415	0.14756	0.190210	78.101	4.67340	4.67340	0.276560	1.67620	NaN	0.69841	0.16499	0.179420	0.031507	0.18175	198.36	114.110	0.66649	1.92920	100.890	0.292470	0.17448	3.22110	0.29949	0.21398	19.7770	19.7770	3668.6	0.16499	0.369210	0.81614	0.00000	4.3325	3.19850	65.215	5.59690	47.4660	b'0'
3	0.227160	0.67850	0.042784	1.0828	-88.212	0.000000	0.28505	0.47384	1.32410	0.32150	0.381070	0.551560	0.227940	0.28505	820.52	0.444840	1.4738	0.28505	0.215270	69.778	1.2704	0.379470	0.171560	NaN	0.309750	0.359520	3.9521	0.097146	4.4738	0.48944	0.221940	201.670	1.80990	1.37860	0.388740	1.32410	1.9671	0.47729	0.29358	0.087377	0.057077	0.28658	141.81	72.028	0.89740	0.59298	98.777	0.362700	0.27392	0.82475	0.51680	0.55251	0.7300	1.0837	1273.8	0.29358	0.706570	0.78617	0.48456	5.2309	5.06750	142.460	2.56210	3.0066	b'0'
4	0.085443	0.38039	0.359230	1.9444	21.731	0.187900	0.10823	1.37140	1.11260	0.52167	0.108230	0.284520	0.089326	0.10823	997.01	0.366100	2.6289	0.10823	0.069422	63.995	1.3596	0.188340	0.054807	0.22602	0.521670	0.306200	1.3442	1.379700	4.7049	0.19682	0.069422	99.090	3.68350	0.49514	0.188340	1.63470	NaN	0.52167	0.12081	0.201730	0.057007	0.12081	155.20	91.204	0.31259	1.22580	71.204	0.157310	0.10091	1.94440	0.38039	0.27148	2.0035	2.0035	18209.0	0.10124	0.163790	0.89876	0.00000	5.7035	4.00200	89.058	4.09840	5.9874	b'0'

---------------------------------------------------
For Year 3

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
0	0.174190	0.41299	0.14371	1.3480	-28.9820	0.60383	0.219460	1.1225	1.1961	0.46359	0.219460	0.531390	0.142330	0.219460	592.24	0.61630	2.4213	0.219460	0.122720	37.573	0.99690	0.295100	0.097402	0.75641	0.46359	0.50669	1.97370	0.32417	5.9473	0.224930	0.122720	100.820	3.6203	0.71453	0.295100	1.8079	123140.0000	0.46359	0.165010	0.212820	0.041124	0.165010	95.682	58.109	0.946210	0.90221	44.941	0.260030	0.145400	1.3480	0.41299	0.27622	1.0457	1.0458	127280.0	0.163960	0.375740	0.83604	0.000007	9.7145	6.2813	84.291	4.3303	4.0341	b'0'
1	0.146240	0.46038	0.28230	1.6294	2.5952	0.00000	0.171850	1.1721	1.6018	0.53962	0.175790	0.383170	0.126470	0.171850	829.46	0.44004	2.1721	0.171850	0.107280	60.954	5.08890	0.175710	0.091295	NaN	0.17523	0.38442	44.59300	1.04860	4.0792	0.243840	0.109740	105.090	3.4733	3.38360	0.044076	1.6018	NaN	0.53962	0.027516	0.164060	0.074333	0.109690	149.750	88.801	0.546690	1.03300	62.678	0.144970	0.090503	1.5874	0.44849	0.28791	2.0044	2.0044	3387.8	0.027516	0.271000	0.90108	0.000000	5.9882	4.1103	102.190	3.5716	5.9500	b'0'
2	0.000595	0.22612	0.48839	3.1599	84.8740	0.19114	0.004572	2.9881	1.0077	0.67566	0.004572	0.020219	0.030966	0.004572	2094.10	0.17430	4.4225	0.004572	0.003592	53.881	0.67451	0.040610	0.000468	0.23470	0.67566	0.15672	0.32153	1.71070	4.6220	0.036196	0.003592	65.345	5.5857	0.17960	0.040610	1.3425	NaN	0.67566	0.031907	0.844690	0.098528	0.031907	150.130	96.251	0.003168	2.32900	54.296	0.005769	0.004533	3.1599	0.22612	0.17903	2.3667	2.3667	20453.0	0.007639	0.000881	0.99236	0.000000	6.7742	3.7922	64.846	5.6287	4.4581	b'0'
3	0.024526	0.43236	0.27546	1.7833	-10.1050	0.56944	0.024526	1.3057	1.0509	0.56453	0.024526	0.069747	0.036812	0.024526	3299.40	0.11063	2.3129	0.024526	0.018876	86.317	0.62795	0.055446	0.018876	0.56944	0.56453	0.11063	0.44844	0.73869	4.2600	0.286240	0.018876	103.810	3.5161	0.12824	0.055446	1.3068	3.9624	0.64524	0.042673	0.178260	0.180500	0.042673	158.550	72.237	0.079819	0.90954	90.707	0.032141	0.024737	1.4504	0.35164	0.28440	1.5139	1.7303	5012.6	0.048398	0.043445	0.95160	0.142980	4.2286	5.0528	98.783	3.6950	3.4844	b'0'
4	0.188290	0.41504	0.34231	1.9279	-58.2740	0.00000	0.233580	1.4094	1.3393	0.58496	0.238810	0.633170	0.187800	0.233580	602.31	0.60600	2.4094	0.233580	0.174410	140.860	1.20390	0.234930	0.140590	0.00000	0.57250	0.49687	44.94700	1.18530	4.6033	0.306910	0.177840	122.090	2.9897	2.65740	0.236350	1.3393	4.5490	0.62769	0.176480	0.013769	0.054712	0.175420	192.450	51.585	0.364290	0.52685	171.050	0.216990	0.162030	1.7136	0.36891	0.33449	2.0256	2.1735	13730.0	0.176480	0.321880	0.82635	0.073039	2.5912	7.0756	100.540	3.6303	4.6375	b'0'

---------------------------------------------------
For Year 4

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
0	0.159290	0.46240	0.07773	1.1683	-44.853	0.467020	0.189480	0.82895	1.1223	0.38330	0.189480	0.41025	0.155480	0.189480	771.49	0.47311	2.1626	0.189480	0.134660	46.838	1.03460	0.180820	0.113210	0.57607	0.383300	0.40783	1.44230	0.16882	6.0662	0.309150	0.134660	134.470	2.7144	0.39104	0.180820	1.4771	658.7000	0.38385	0.128510	0.167020	0.072354	0.128510	119.96	73.126	0.88223	0.77736	52.568	0.151530	0.107690	1.1669	0.46185	0.36840	0.83251	0.8337	90533.0	0.108990	0.41557	0.89101	0.001422	7.7928	4.9914	119.810	3.0465	3.0560	b'0'
1	-0.127430	0.46243	0.26917	1.7517	7.597	0.000925	-0.127430	1.16250	1.2944	0.53757	-0.123210	-0.35587	-0.069684	-0.127430	-1871.30	-0.19506	2.1625	-0.127430	-0.098443	67.186	0.65665	-0.080134	-0.098443	NaN	0.089142	-0.19506	-18.99600	0.72207	3.9891	0.347020	-0.095184	92.684	3.9381	3.04930	-0.115680	1.2944	4.8106	0.61842	-0.089372	0.042359	-0.359250	-0.061907	172.59	105.400	-0.53481	1.08630	61.674	-0.117360	-0.090667	1.3564	0.35807	0.25393	1.44210	1.6590	2624.9	-0.089372	-0.23704	1.06250	0.150410	5.4327	3.4629	100.970	3.6150	3.4725	b'0'
2	0.070488	0.23570	0.52781	3.2393	125.680	0.163670	0.086895	2.87180	1.0574	0.67689	0.086895	0.36866	0.104840	0.086895	725.64	0.50300	4.2426	0.086895	0.076840	51.358	0.99173	0.076618	0.062331	0.20835	0.676890	0.43339	0.71641	2.23180	4.6697	-0.024608	0.076840	80.443	4.5374	0.32506	0.076618	1.2007	NaN	0.67689	0.067752	1.145100	0.071564	0.067752	159.32	107.960	0.44299	2.56420	54.306	0.044954	0.039752	3.2393	0.23570	0.22039	2.86220	2.8622	24672.0	0.054286	0.10413	0.94571	0.000000	7.1070	3.3808	76.076	4.7978	4.7818	b'0'
3	0.136760	0.40538	0.31543	1.8705	19.115	0.504970	0.136760	1.45390	1.1144	0.58938	0.136760	0.37742	0.106900	0.136760	924.13	0.39496	2.4668	0.136760	0.091304	59.462	1.33550	0.144820	0.091304	0.50497	0.589380	0.39496	1.07750	0.97894	4.3239	0.218650	0.091304	98.398	3.7094	0.35724	0.144820	1.5064	10.0790	0.63242	0.096688	0.218530	0.079248	0.096688	145.87	86.408	0.56046	1.19710	66.263	0.121460	0.081094	1.6719	0.36235	0.26958	1.82910	1.9627	6649.9	0.102630	0.23203	0.89737	0.073024	6.1384	4.2241	88.299	4.1337	4.6484	b'0'
4	-0.110080	0.69793	0.18878	1.2713	-15.344	0.000000	-0.110080	0.43282	1.7350	0.30207	-0.103100	-0.15820	0.088289	-0.110080	1663.00	0.21948	1.4328	-0.110080	-0.063446	19.414	1.03080	0.000000	-0.063446	NaN	0.230240	0.21948	0.00000	1.63600	3.8426	0.376720	-0.133340	261.350	1.3966	1.39240	0.050620	1.7350	NaN	0.30207	0.029176	0.245800	0.088371	0.000000	150.12	130.710	-1.19280	1.13870	34.660	-0.263260	-0.151730	1.2675	0.69583	0.71602	2.61780	2.6178	1314.0	0.439880	-0.36440	0.57153	0.000000	18.8010	2.7925	146.390	2.4934	15.0360	b'0'

---------------------------------------------------
For Year 5

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
0	0.088238	0.55472	0.01134	1.0205	-66.5200	0.342040	0.109490	0.57752	1.0881	0.32036	0.109490	0.197600	0.096885	0.109490	1475.20	0.247420	1.8027	0.109490	0.077287	50.199	1.15740	0.135230	0.062287	0.41949	0.320360	0.209120	1.03870	0.026093	6.1267	0.377880	0.077287	155.330	2.3498	0.24377	0.135230	1.4493	571.3700	0.32101	0.095457	0.128790	0.111890	0.095457	127.30	77.096	0.452890	0.66883	54.621	0.107460	0.075859	1.01930	0.55407	0.42557	0.73717	0.73866	15182.0000	0.080955	0.275430	0.91905	0.002024	7.2711	4.7343	142.760	2.5568	3.2597	b'0'
1	-0.006202	0.48465	0.23298	1.5998	6.1825	0.000000	-0.006202	1.06340	1.2757	0.51535	0.001329	-0.015967	0.037544	-0.006202	3693.40	0.098825	2.0634	-0.006202	-0.004862	59.923	1.01580	0.001289	-0.004862	NaN	0.080285	0.098825	0.17118	0.615450	4.0022	0.363810	0.000778	108.050	3.3779	2.70750	-0.036475	1.2757	5.2519	0.59380	-0.028591	0.057810	0.291670	0.001011	171.38	111.450	-0.029614	1.06060	58.258	-0.052809	-0.041395	1.28230	0.38846	0.29604	1.36140	1.56860	2341.8000	-0.028591	-0.012035	1.00470	0.152220	6.0911	3.2749	111.140	3.2841	3.3700	b'0'
2	0.130240	0.22142	0.57751	3.6082	120.0400	0.187640	0.162120	3.05900	1.1415	0.67731	0.162120	0.732180	0.165680	0.162120	431.75	0.845390	4.5164	0.162120	0.143490	41.508	1.23620	0.145860	0.115280	0.23566	0.677310	0.701430	1.47370	2.872100	4.7622	0.050069	0.143490	81.653	4.4701	0.65878	0.145860	1.1698	NaN	0.67731	0.129100	1.319600	0.042587	0.129100	163.71	122.200	1.013700	3.02800	47.382	0.120800	0.106920	3.60820	0.22142	0.22371	3.36840	3.36840	33401.0000	0.123960	0.192290	0.87604	0.000000	8.7934	2.9870	71.531	5.1027	5.6188	b'0'
3	-0.089951	0.88700	0.26927	1.5222	-55.9920	-0.073957	-0.089951	0.12740	1.2754	0.11300	-0.080792	-0.174450	0.084038	-0.089951	3020.50	0.120840	1.1274	-0.089951	-0.070525	47.698	1.09420	0.000000	-0.070525	NaN	0.064737	0.120840	0.00000	1.251900	4.0153	0.657790	-0.138650	253.910	1.4375	0.83567	0.014027	1.2754	1.9005	0.43830	0.010998	0.456220	0.149980	0.000000	157.30	109.600	-0.539690	1.19900	82.073	-0.197140	-0.154560	0.88491	0.51564	0.69565	0.52538	2.03780	2789.6000	0.418840	-0.796020	0.59074	2.878700	7.6524	3.3302	147.560	2.4735	5.9299	b'0'
4	0.048179	0.55041	0.10765	1.2437	-22.9590	0.000000	0.059280	0.81682	1.5150	0.44959	0.091990	0.134190	0.055575	0.059280	2386.10	0.152970	1.8168	0.059280	0.039129	36.074	0.99455	0.067616	0.031802	0.00000	0.429200	0.132800	2.06710	0.238910	5.8823	0.363310	0.039129	140.120	2.6583	2.13360	0.364200	1.5150	6.3783	0.51225	0.240400	0.067283	0.198280	0.044632	125.21	89.134	0.321770	0.90475	46.538	0.042701	0.028186	0.99819	0.44176	0.37618	0.99779	1.13690	1.2437	0.240400	0.107160	0.77048	0.139380	10.1180	4.0950	106.430	3.4294	3.3622	b'0'

---------------------------------------------------

Data Cleaning

 df_list = [year1,year2,year3,year4,year5]
for i in range(5):
    print("For Year "+str(i+1))
    print(df_list[i]['class'].unique())
    print("---------------------------")

For Year 1
[b'0' b'1']
---------------------------
For Year 2
[b'0' b'1']
---------------------------
For Year 3
[b'0' b'1']
---------------------------
For Year 4
[b'0' b'1']
---------------------------
For Year 5
[b'0' b'1']
---------------------------

df_list = [year1,year2,year3,year4,year5]
for df in df_list:
    le = LabelEncoder()
    df['class'] = le.fit_transform(df['class'])

 df_list = [year1,year2,year3,year4,year5]
for i in range(5):
    print("For Year "+str(i+1))
    print(df_list[i]['class'].unique())
    print("---------------------------")

For Year 1
[0 1]
---------------------------
For Year 2
[0 1]
---------------------------
For Year 3
[0 1]
---------------------------
For Year 4
[0 1]
---------------------------
For Year 5
[0 1]
---------------------------

 df_list = [year1,year2,year3,year4,year5]

for df in df_list:
    print(df.shape)
    print("----------------")

(7027, 65)
----------------
(10173, 65)
----------------
(10503, 65)
----------------
(9792, 65)
----------------
(5910, 65)
----------------

 df_list = [year1,year2,year3,year4,year5]

for i in range(5):
    print("For Year "+str(i+1))
    print("\n")
    print(df_list[i].isna().sum())
    print("-----------------------------------\n")

For Year 1


Attr1        3
Attr2        3
Attr3        3
Attr4       30
Attr5        8
Attr6        3
Attr7        3
Attr8       25
Attr9        1
Attr10       3
Attr11      39
Attr12      30
Attr13       0
Attr14       3
Attr15       2
Attr16      25
Attr17      25
Attr18       3
Attr19       0
Attr20       0
Attr21    1622
Attr22       3
Attr23       0
Attr24     124
Attr25       3
Attr26      25
Attr27     311
Attr28      34
Attr29       3
Attr30       0
Attr31       0
Attr32      38
Attr33      30
Attr34      25
Attr35       3
Attr36       3
Attr37    2740
Attr38       3
Attr39       0
Attr40      30
Attr41      84
Attr42       0
Attr43       0
Attr44       0
Attr45     134
Attr46      31
Attr47      29
Attr48       3
Attr49       0
Attr50      25
Attr51       3
Attr52      29
Attr53      34
Attr54      34
Attr55       0
Attr56       0
Attr57       1
Attr58       0
Attr59       1
Attr60     135
Attr61      22
Attr62       0
Attr63      30
Attr64      34
class        0
dtype: int64
-----------------------------------

For Year 2


Attr1        1
Attr2        1
Attr3        1
Attr4       22
Attr5       24
Attr6        1
Attr7        1
Attr8       18
Attr9        4
Attr10       1
Attr11       1
Attr12      22
Attr13      63
Attr14       1
Attr15      12
Attr16      19
Attr17      18
Attr18       1
Attr19      64
Attr20      63
Attr21    3164
Attr22       1
Attr23      63
Attr24     225
Attr25       1
Attr26      19
Attr27     706
Attr28     212
Attr29       1
Attr30      63
Attr31      63
Attr32      87
Attr33      22
Attr34      18
Attr35       1
Attr36       1
Attr37    4518
Attr38       1
Attr39      63
Attr40      22
Attr41     197
Attr42      63
Attr43      63
Attr44      63
Attr45     541
Attr46      22
Attr47      74
Attr48       2
Attr49      63
Attr50      18
Attr51       1
Attr52      74
Attr53     212
Attr54     212
Attr55       1
Attr56      63
Attr57       2
Attr58      39
Attr59       2
Attr60     543
Attr61      16
Attr62      63
Attr63      22
Attr64     212
class        0
dtype: int64
-----------------------------------

For Year 3


Attr1        0
Attr2        0
Attr3        0
Attr4       18
Attr5       25
Attr6        0
Attr7        0
Attr8       14
Attr9        3
Attr10       0
Attr11       0
Attr12      18
Attr13      43
Attr14       0
Attr15       8
Attr16      14
Attr17      14
Attr18       0
Attr19      43
Attr20      43
Attr21     807
Attr22       0
Attr23      43
Attr24     227
Attr25       0
Attr26      14
Attr27     715
Attr28     228
Attr29       0
Attr30      43
Attr31      43
Attr32     101
Attr33      18
Attr34      14
Attr35       0
Attr36       0
Attr37    4736
Attr38       0
Attr39      43
Attr40      18
Attr41     202
Attr42      43
Attr43      43
Attr44      43
Attr45     591
Attr46      18
Attr47      86
Attr48       0
Attr49      43
Attr50      14
Attr51       0
Attr52      86
Attr53     228
Attr54     228
Attr55       0
Attr56      43
Attr57       0
Attr58      29
Attr59       0
Attr60     592
Attr61      17
Attr62      43
Attr63      18
Attr64     228
class        0
dtype: int64
-----------------------------------

For Year 4


Attr1        1
Attr2        1
Attr3        1
Attr4       43
Attr5       21
Attr6        1
Attr7        1
Attr8       19
Attr9        0
Attr10       1
Attr11       1
Attr12      43
Attr13      21
Attr14       1
Attr15       8
Attr16      19
Attr17      19
Attr18       1
Attr19      21
Attr20      21
Attr21     158
Attr22       1
Attr23      21
Attr24     211
Attr25       1
Attr26      19
Attr27     641
Attr28     231
Attr29       1
Attr30      21
Attr31      21
Attr32      96
Attr33      43
Attr34      19
Attr35       1
Attr36       1
Attr37    4442
Attr38       1
Attr39      21
Attr40      43
Attr41     187
Attr42      21
Attr43      21
Attr44      21
Attr45     613
Attr46      43
Attr47      73
Attr48       1
Attr49      21
Attr50      19
Attr51       1
Attr52      76
Attr53     231
Attr54     231
Attr55       0
Attr56      21
Attr57       1
Attr58      16
Attr59       1
Attr60     614
Attr61      32
Attr62      21
Attr63      43
Attr64     231
class        0
dtype: int64
-----------------------------------

For Year 5


Attr1        3
Attr2        3
Attr3        3
Attr4       21
Attr5       11
Attr6        3
Attr7        3
Attr8       18
Attr9        1
Attr10       3
Attr11       3
Attr12      21
Attr13       0
Attr14       3
Attr15       6
Attr16      18
Attr17      18
Attr18       3
Attr19       0
Attr20       0
Attr21     103
Attr22       3
Attr23       0
Attr24     135
Attr25       3
Attr26      18
Attr27     391
Attr28     107
Attr29       3
Attr30       0
Attr31       0
Attr32      46
Attr33      21
Attr34      18
Attr35       3
Attr36       3
Attr37    2548
Attr38       3
Attr39       0
Attr40      21
Attr41      84
Attr42       0
Attr43       0
Attr44       0
Attr45     268
Attr46      21
Attr47      35
Attr48       3
Attr49       0
Attr50      18
Attr51       3
Attr52      36
Attr53     107
Attr54     107
Attr55       0
Attr56       0
Attr57       3
Attr58       0
Attr59       3
Attr60     268
Attr61      15
Attr62       0
Attr63      21
Attr64     107
class        0
dtype: int64
-----------------------------------

i1 = KNNImputer(n_neighbors = 3)
df1 = pd.DataFrame(i1.fit_transform(year1),columns = year1.columns)

i2 = KNNImputer(n_neighbors = 3)
df2 = pd.DataFrame(i2.fit_transform(year2),columns = year2.columns)

i3 = KNNImputer(n_neighbors = 3)
df3 = pd.DataFrame(i3.fit_transform(year3),columns = year3.columns)

i4 = KNNImputer(n_neighbors = 3)
df4 = pd.DataFrame(i4.fit_transform(year4),columns = year4.columns)

i5 = KNNImputer(n_neighbors = 3)
df5 = pd.DataFrame(i5.fit_transform(year5),columns = year5.columns)

df_list = [df1,df2,df3,df4,df5]

for i in range(5):
    print("For Year "+str(i+1))
    print("\n")
    print(df_list[i].isna().sum())
    print("-----------------------------------\n")

For Year 1


Attr1     0
Attr2     0
Attr3     0
Attr4     0
Attr5     0
Attr6     0
Attr7     0
Attr8     0
Attr9     0
Attr10    0
Attr11    0
Attr12    0
Attr13    0
Attr14    0
Attr15    0
Attr16    0
Attr17    0
Attr18    0
Attr19    0
Attr20    0
Attr21    0
Attr22    0
Attr23    0
Attr24    0
Attr25    0
Attr26    0
Attr27    0
Attr28    0
Attr29    0
Attr30    0
Attr31    0
Attr32    0
Attr33    0
Attr34    0
Attr35    0
Attr36    0
Attr37    0
Attr38    0
Attr39    0
Attr40    0
Attr41    0
Attr42    0
Attr43    0
Attr44    0
Attr45    0
Attr46    0
Attr47    0
Attr48    0
Attr49    0
Attr50    0
Attr51    0
Attr52    0
Attr53    0
Attr54    0
Attr55    0
Attr56    0
Attr57    0
Attr58    0
Attr59    0
Attr60    0
Attr61    0
Attr62    0
Attr63    0
Attr64    0
class     0
dtype: int64
-----------------------------------

For Year 2


Attr1     0
Attr2     0
Attr3     0
Attr4     0
Attr5     0
Attr6     0
Attr7     0
Attr8     0
Attr9     0
Attr10    0
Attr11    0
Attr12    0
Attr13    0
Attr14    0
Attr15    0
Attr16    0
Attr17    0
Attr18    0
Attr19    0
Attr20    0
Attr21    0
Attr22    0
Attr23    0
Attr24    0
Attr25    0
Attr26    0
Attr27    0
Attr28    0
Attr29    0
Attr30    0
Attr31    0
Attr32    0
Attr33    0
Attr34    0
Attr35    0
Attr36    0
Attr37    0
Attr38    0
Attr39    0
Attr40    0
Attr41    0
Attr42    0
Attr43    0
Attr44    0
Attr45    0
Attr46    0
Attr47    0
Attr48    0
Attr49    0
Attr50    0
Attr51    0
Attr52    0
Attr53    0
Attr54    0
Attr55    0
Attr56    0
Attr57    0
Attr58    0
Attr59    0
Attr60    0
Attr61    0
Attr62    0
Attr63    0
Attr64    0
class     0
dtype: int64
-----------------------------------

For Year 3


Attr1     0
Attr2     0
Attr3     0
Attr4     0
Attr5     0
Attr6     0
Attr7     0
Attr8     0
Attr9     0
Attr10    0
Attr11    0
Attr12    0
Attr13    0
Attr14    0
Attr15    0
Attr16    0
Attr17    0
Attr18    0
Attr19    0
Attr20    0
Attr21    0
Attr22    0
Attr23    0
Attr24    0
Attr25    0
Attr26    0
Attr27    0
Attr28    0
Attr29    0
Attr30    0
Attr31    0
Attr32    0
Attr33    0
Attr34    0
Attr35    0
Attr36    0
Attr37    0
Attr38    0
Attr39    0
Attr40    0
Attr41    0
Attr42    0
Attr43    0
Attr44    0
Attr45    0
Attr46    0
Attr47    0
Attr48    0
Attr49    0
Attr50    0
Attr51    0
Attr52    0
Attr53    0
Attr54    0
Attr55    0
Attr56    0
Attr57    0
Attr58    0
Attr59    0
Attr60    0
Attr61    0
Attr62    0
Attr63    0
Attr64    0
class     0
dtype: int64
-----------------------------------

For Year 4


Attr1     0
Attr2     0
Attr3     0
Attr4     0
Attr5     0
Attr6     0
Attr7     0
Attr8     0
Attr9     0
Attr10    0
Attr11    0
Attr12    0
Attr13    0
Attr14    0
Attr15    0
Attr16    0
Attr17    0
Attr18    0
Attr19    0
Attr20    0
Attr21    0
Attr22    0
Attr23    0
Attr24    0
Attr25    0
Attr26    0
Attr27    0
Attr28    0
Attr29    0
Attr30    0
Attr31    0
Attr32    0
Attr33    0
Attr34    0
Attr35    0
Attr36    0
Attr37    0
Attr38    0
Attr39    0
Attr40    0
Attr41    0
Attr42    0
Attr43    0
Attr44    0
Attr45    0
Attr46    0
Attr47    0
Attr48    0
Attr49    0
Attr50    0
Attr51    0
Attr52    0
Attr53    0
Attr54    0
Attr55    0
Attr56    0
Attr57    0
Attr58    0
Attr59    0
Attr60    0
Attr61    0
Attr62    0
Attr63    0
Attr64    0
class     0
dtype: int64
-----------------------------------

For Year 5


Attr1     0
Attr2     0
Attr3     0
Attr4     0
Attr5     0
Attr6     0
Attr7     0
Attr8     0
Attr9     0
Attr10    0
Attr11    0
Attr12    0
Attr13    0
Attr14    0
Attr15    0
Attr16    0
Attr17    0
Attr18    0
Attr19    0
Attr20    0
Attr21    0
Attr22    0
Attr23    0
Attr24    0
Attr25    0
Attr26    0
Attr27    0
Attr28    0
Attr29    0
Attr30    0
Attr31    0
Attr32    0
Attr33    0
Attr34    0
Attr35    0
Attr36    0
Attr37    0
Attr38    0
Attr39    0
Attr40    0
Attr41    0
Attr42    0
Attr43    0
Attr44    0
Attr45    0
Attr46    0
Attr47    0
Attr48    0
Attr49    0
Attr50    0
Attr51    0
Attr52    0
Attr53    0
Attr54    0
Attr55    0
Attr56    0
Attr57    0
Attr58    0
Attr59    0
Attr60    0
Attr61    0
Attr62    0
Attr63    0
Attr64    0
class     0
dtype: int64
-----------------------------------

 df_list = [df1,df2,df3,df4,df5]
for i in range(5):
    print("For df"+str(i+1))
    display(df_list[i].describe())
    print(df_list[i].shape)
    print("--------------------------------------------------------------")

For df1

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
count	7027.000000	7027.000000	7027.000000	7027.000000	7.027000e+03	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7.027000e+03	7027.000000	7027.000000	7027.000000	7027.000000	7.027000e+03	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7.027000e+03	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7.027000e+03	7.027000e+03	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7027.000000	7.027000e+03	7.027000e+03	7027.000000	7.027000e+03	7027.000000	7.027000e+03	7027.000000	7.027000e+03	7027.000000	7027.000000	7027.000000
mean	0.034702	0.560143	0.119984	2.858589	-2.634531e+02	0.059724	0.313804	2.840149	5.552402	1.825311	0.352565	0.810853	2.093345	0.313804	1.802823e+03	0.880870	3.967678	0.313804	0.462392	1.162128e+03	16.568542	0.288099	0.423610	0.535647	1.264121	0.841227	1.402877e+03	2.699944	4.194733	23.568949	0.473717	244.395189	7.609975	4.097935	0.306804	5.899189	182.864171	1.911370	0.269342	0.981715	0.602463	0.263638	4.588504e+03	3.426404e+03	-29.226782	2.011187	89.005497	0.148639	-1.367363	2.255211	0.467610	0.603288	99.855197	100.772363	8.855693e+03	-1.577367e+02	0.193245	1.587409e+02	0.277790	4.280037e+02	15.629620	4.763202e+03	8.602747	212.268622	0.038566
std	4.564530	5.348943	5.274334	13.967599	3.705350e+04	6.049821	8.351491	19.174494	101.988197	33.829237	8.634736	5.309450	159.699448	8.351491	8.391038e+04	5.589379	19.957942	8.351491	30.646874	9.315822e+04	455.988265	8.335413	29.742101	13.381478	28.970780	7.770583	3.541817e+04	27.371023	0.677720	1826.847970	30.647711	4857.362008	19.321783	18.509343	7.563541	101.973850	5509.359359	33.828570	27.064231	12.932990	13.752533	27.071123	3.627309e+05	2.696211e+05	3059.369005	13.218663	1140.039523	7.791893	107.717867	6.675233	5.277821	8.627981	2781.818271	2796.005456	7.247527e+04	1.322125e+04	4.343737	1.322124e+04	6.338699	2.587606e+04	261.145185	3.107835e+05	21.992774	5141.363789	0.192571
min	-256.890000	-72.162000	-440.500000	0.000000	-2.722100e+06	-397.890000	-189.560000	-141.410000	0.000005	-440.550000	-189.450000	-23.207000	-607.420000	-189.560000	-5.611900e+06	-42.322000	-0.412920	-189.560000	-622.060000	0.000000e+00	-1325.000000	-216.800000	-634.590000	-189.560000	-459.560000	-21.793000	-1.479000e+04	-490.090000	0.176090	-149.070000	-622.060000	0.000000	0.000000	-280.260000	-169.470000	0.000005	-525.520000	-440.550000	-701.630000	-101.270000	-77.791000	-701.630000	0.000000e+00	0.000000e+00	-256230.000000	-101.260000	0.000000	-218.420000	-9001.000000	0.000000	0.000000	0.000000	-130.470000	-122.030000	-8.004700e+05	-1.108300e+06	-315.370000	-4.194000e-03	-327.970000	4.700000e-05	0.000016	0.000000e+00	0.000015	0.000010	0.000000
25%	0.021208	0.296305	0.026946	1.063900	-4.449800e+01	0.000000	0.028037	0.447340	1.037250	0.300900	0.037774	0.063436	0.038073	0.028037	3.436150e+02	0.123100	1.469450	0.028037	0.014812	1.708300e+01	1.036500	0.020368	0.011253	0.049799	0.195300	0.110560	2.361750e-01	0.051166	3.720850	0.094681	0.019233	48.292000	3.055250	0.248275	0.023115	1.265000	1.954245	0.419445	0.012786	0.052500	0.034933	0.011540	6.525600e+01	3.387300e+01	0.102055	0.611255	18.319500	-0.016986	-0.009992	0.806565	0.216120	0.132120	0.715670	0.973340	9.712000e+01	2.031450e-02	0.056814	8.647650e-01	0.000000	5.967550e+00	4.834250	4.322250e+01	3.432500	2.542300	0.000000
50%	0.075803	0.482900	0.181200	1.504300	-5.373900e+00	0.000000	0.090170	1.019300	1.206000	0.492270	0.101980	0.250310	0.080830	0.090170	9.260300e+02	0.312940	2.067200	0.090170	0.049966	3.561200e+01	1.146860	0.087133	0.042097	0.165690	0.398210	0.277430	1.301700e+00	0.446090	4.133500	0.207130	0.056637	76.165000	4.790300	1.735700	0.086126	1.810100	5.350300	0.591800	0.046948	0.158050	0.088864	0.047783	9.461200e+01	5.180000e+01	0.414180	0.966910	39.245000	0.042190	0.022759	1.190500	0.359550	0.208240	1.186400	1.363700	1.604800e+03	6.338200e-02	0.175820	9.388100e-01	0.028424	1.017700e+01	7.043500	6.850900e+01	5.326300	4.642200	0.000000
75%	0.160275	0.680170	0.362585	2.472450	3.777050e+01	0.146660	0.188675	2.278450	2.133150	0.675770	0.201285	0.696130	0.144955	0.188675	2.166050e+03	0.744095	3.366100	0.188675	0.104500	6.070100e+01	1.286850	0.185180	0.088314	0.337815	0.604045	0.665320	6.656800e+00	1.296400	4.603200	0.365635	0.114970	119.325000	7.538100	4.187600	0.189700	2.604350	20.052467	0.743635	0.103375	0.523775	0.205660	0.102165	1.304150e+02	7.550250e+01	1.190700	1.665550	69.039500	0.142665	0.075464	1.973650	0.539000	0.326175	2.043300	2.178550	5.955900e+03	1.376950e-01	0.351895	9.820150e-01	0.273595	2.049550e+01	10.702500	1.063350e+02	8.410450	9.792750	0.000000
max	94.280000	441.500000	1.000000	1017.800000	9.909000e+05	303.670000	453.770000	1452.200000	3876.100000	1099.500000	453.780000	331.460000	13315.000000	453.770000	3.599100e+06	405.330000	1529.900000	453.770000	2156.800000	7.809200e+06	27900.000000	454.640000	2156.800000	831.660000	1353.300000	612.880000	2.040800e+06	1570.000000	9.386100	152860.000000	2156.800000	351630.000000	884.200000	884.200000	445.470000	3876.100000	398920.000000	1099.500000	2156.500000	1014.600000	813.140000	2156.800000	3.039300e+07	2.258400e+07	5986.800000	1017.800000	62233.000000	405.590000	31.639000	261.500000	441.500000	453.960000	180440.000000	180440.000000	4.398400e+06	1.000000e+00	126.670000	1.108300e+06	119.580000	2.137800e+06	21110.000000	2.501600e+07	1042.200000	294770.000000	1.000000

(7027, 65)
--------------------------------------------------------------
For df2

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
count	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	1.017300e+04	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	1.017300e+04	10173.000000	10173.000000	10173.000000	10173.000000	1.017300e+04	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	1.017300e+04	1.017300e+04	10173.000000	10173.000000	1.017300e+04	10173.000000	10173.000000	10173.000000	10173.00000	10173.000000	10173.000000	10173.000000	1.017300e+04	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	10173.000000	1.017300e+04	10173.000000	10173.000000	10173.000000
mean	0.043080	0.646911	0.070892	4.480836	-144.897065	-0.111553	0.122101	10.729253	2.866637	0.344373	0.158959	0.950064	0.975768	0.122109	6.474460e+02	1.310076	11.802770	0.128163	0.537829	72.485048	2.740930	0.147818	0.552750	0.238646	0.168083	1.079956	1.348780e+03	5.215667	3.930840	9.543069	0.551361	2.033138e+03	10.262906	7.267296	0.140553	3.111930	92.102685	0.441370	-0.340315	2.233272	0.784363	-0.300456	4.232270e+02	3.507429e+02	22.122334	3.615249	7.214369e+02	0.068597	-0.377727	5.445337	0.52762	5.570864	22.549975	22.920621	6.086783e+03	-1.703976	-0.043517	12.778460	3.034142	367.493814	16.909767	9.240253e+02	11.216077	67.976605	0.039320
std	1.111974	6.615082	6.606171	56.493540	7802.988199	6.567765	6.532168	294.911782	96.655596	6.655517	6.814637	24.625212	100.387578	6.532168	5.089753e+04	26.671740	294.974008	6.560615	93.149564	1009.372169	83.985719	6.809212	92.986629	6.569483	7.007818	20.653971	4.450505e+04	128.564994	0.830779	634.345893	93.288939	1.722695e+05	218.723760	219.330393	6.253292	96.654541	1131.371050	6.653239	16.896866	54.309670	24.503883	16.487335	1.655661e+04	1.639603e+04	1167.464745	56.241321	6.036740e+04	6.254576	16.729438	191.439109	6.61111	471.956027	1003.032853	1005.026275	6.597947e+04	95.791913	12.250446	631.853169	238.162242	11983.919013	295.539764	4.358556e+04	233.666867	1678.822454	0.194364
min	-75.331000	0.000000	-479.960000	0.002079	-438250.000000	-508.410000	-75.331000	-1.594500	-0.612590	-479.910000	-65.624000	-455.590000	-1317.600000	-75.331000	-2.132900e+06	-214.670000	0.000000	-75.331000	-1325.600000	0.000000	0.000000	-65.624000	-1325.600000	-75.331000	-500.930000	-214.670000	-1.571600e+05	-3829.900000	-0.886060	-380.550000	-1325.600000	-1.647800e+02	-19.197000	-309.000000	-61.455000	-0.000857	-89.392000	-479.910000	-1395.800000	-12.545000	-1234.400000	-1395.800000	-4.853200e+04	-4.853200e+04	-2686.000000	-8.242900	-9.611000e+01	-70.287000	-1403.800000	0.002079	0.00000	-0.451460	-3828.900000	-3828.900000	-1.805200e+06	-8534.600000	-979.250000	-4.549700	-189.580000	0.000000	-0.007521	-9.921400e+02	-0.367890	-10677.000000	0.000000
25%	0.000368	0.277650	0.012133	1.030100	-50.174000	0.000000	0.001985	0.393950	1.026100	0.277510	0.013033	0.004599	0.018803	0.001985	1.663500e+02	0.061702	1.418100	0.001985	0.001211	13.656000	0.734567	0.000000	0.000287	0.019103	0.129020	0.055168	2.561800e-02	0.024802	3.412700	0.078326	0.003607	4.437800e+01	2.839800	0.377420	0.006339	1.159800	1.671467	0.406900	0.004187	0.054285	0.025396	0.000000	6.160100e+01	3.270984e+01	0.002315	0.580740	1.418700e+01	-0.039447	-0.025284	0.752040	0.19443	0.121220	0.657420	0.939650	5.720000e+00	0.010397	0.009951	0.871270	0.000000	5.727300	4.694300	4.005900e+01	3.100200	2.287100	0.000000
50%	0.049523	0.487330	0.189730	1.526900	-1.942100	0.000000	0.060060	1.007500	1.285000	0.490930	0.081601	0.168050	0.065997	0.060078	7.550200e+02	0.245040	2.052000	0.060078	0.034446	33.154000	0.952290	0.067639	0.028483	0.144260	0.356910	0.218620	1.151100e+00	0.456800	3.931600	0.211860	0.042000	7.726600e+01	4.700900	2.181200	0.065249	1.731400	4.919933	0.603870	0.037641	0.174160	0.083546	0.038862	9.434100e+01	5.186600e+01	0.282030	1.001900	3.601300e+01	0.022634	0.012912	1.193100	0.35158	0.211050	1.187000	1.368100	8.331200e+02	0.055404	0.126160	0.949430	0.004806	10.542000	6.984200	6.951900e+01	5.199600	4.535200	0.000000
75%	0.141100	0.705030	0.400350	2.753500	51.333000	0.074718	0.165850	2.534300	2.256400	0.703270	0.186320	0.632730	0.132580	0.165850	2.130600e+03	0.716480	3.599500	0.165910	0.092443	61.792000	1.099400	0.165570	0.078799	0.346070	0.590450	0.640290	5.935500e+00	1.501300	4.455000	0.403150	0.103390	1.274600e+02	8.199600	4.963200	0.165720	2.573000	18.624000	0.768840	0.094307	0.654330	0.206170	0.096021	1.357000e+02	7.715400e+01	1.087500	1.884500	6.914400e+01	0.121940	0.068168	2.165100	0.54920	0.348140	2.220000	2.365700	4.021600e+03	0.135670	0.309130	0.993380	0.249210	23.151000	11.077000	1.164200e+02	9.019100	10.633000	0.000000
max	7.372700	480.960000	5.502200	4881.600000	70686.000000	35.551000	649.230000	18554.000000	9742.300000	74.434000	681.540000	1744.500000	9247.900000	649.230000	1.831700e+06	1744.500000	18555.000000	649.230000	9230.500000	70962.000000	6964.200000	681.540000	9230.500000	649.230000	48.669000	1744.500000	4.208800e+06	10033.000000	9.464800	62048.000000	9244.300000	1.736400e+07	21944.000000	21944.000000	626.920000	9742.300000	72701.000000	74.689000	21.386000	4849.300000	990.080000	71.633000	1.562300e+06	1.562300e+06	113820.000000	4881.600000	6.084200e+06	623.850000	21.386000	18542.000000	480.96000	47572.000000	86795.000000	87092.000000	3.657400e+06	20.200000	147.190000	59672.000000	23853.000000	639940.000000	26862.000000	4.144800e+06	23454.000000	127680.000000	1.000000

(10173, 65)
--------------------------------------------------------------
For df3

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
count	10503.000000	10503.000000	10503.000000	10503.000000	1.050300e+04	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	1.050300e+04	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	1.050300e+04	10503.000000	10503.000000	10503.000000	10503.000000	1.050300e+04	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	1.050300e+04	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	10503.000000	1.050300e+04	10503.000000	10503.000000	10503.000000	10503.000000	1.050300e+04	10503.000000	1.050300e+04	10503.000000	10503.000000	10503.000000
mean	0.052844	0.619911	0.095490	11.715123	-1.346149e+03	-0.121159	0.065624	20.848160	1.819657	0.366093	0.086764	2.462062	0.374305	0.065634	3.000280e+03	2.778622	22.219233	0.070739	-0.171115	68.414017	4.411314	0.075676	-0.176751	0.212362	0.196153	2.619703	1.245057e+03	6.229246	3.921179	0.461482	-0.177232	2.113030e+03	8.535489	5.407737	0.071075	1.981250	113.833952	0.465510	-0.076385	2.506447	28.173594	-0.141861	197.097201	128.682697	23.069146	10.709801	7.199772e+02	0.004834	-0.218043	10.397216	0.497135	13.148851	5.869744	6.845789	6.638549e+03	-0.527602	-0.014817	3.883865	1.429319	7.997016e+02	14.102608	1.369304e+02	9.163375	36.451378	0.047129
std	0.647797	6.427041	6.420056	551.331422	1.184395e+05	6.970625	0.651152	737.989682	7.580827	6.428603	0.655407	111.486828	49.573774	0.651151	1.091569e+05	110.283305	741.928999	0.835328	11.187302	1081.490808	293.921738	0.581734	11.126491	2.071936	6.742161	108.833353	3.393139e+04	94.404183	0.840528	71.608415	11.134204	8.126102e+04	38.297602	69.349776	0.572124	2.630705	2089.473227	6.425362	8.062845	38.994421	2817.796590	10.765518	3298.101113	2762.599255	1735.289508	551.212789	3.283101e+04	0.629770	11.886609	550.318688	6.420885	854.759827	89.498089	93.223513	5.989196e+04	55.863918	18.684047	189.977582	77.273270	3.984527e+04	84.326190	2.593798e+04	31.694089	426.856363	0.211926
min	-17.692000	0.000000	-479.730000	0.002080	-1.190300e+07	-508.120000	-17.692000	-2.081800	-1.215700	-479.730000	-17.692000	-1543.800000	-631.710000	-17.692000	-2.321800e+06	-204.300000	-0.043411	-17.692000	-771.650000	-0.001439	-1.107500	-17.692000	-771.650000	-60.742000	-500.750000	-204.300000	-1.901300e+05	-690.400000	-0.358530	-6351.700000	-771.390000	-9.295600e+03	-1.921900	-1696.000000	-17.073000	-0.000084	-2.200900	-479.730000	-551.110000	-7.081900	-667.730000	-765.800000	-25113.000000	-25113.000000	-74385.000000	-6.469200	-1.730300e+01	-17.692000	-905.750000	0.002080	0.000000	-25.467000	-869.040000	-706.490000	-7.513800e+05	-5691.700000	-1667.300000	-198.690000	-172.070000	0.000000e+00	-6.590300	-2.336500e+06	-0.000156	-0.000102	0.000000
25%	0.000686	0.253955	0.017461	1.040750	-5.204650e+01	0.000000	0.002118	0.431770	1.011200	0.297340	0.009809	0.006115	0.020437	0.002131	1.856150e+02	0.060196	1.450050	0.002131	0.001541	14.247000	0.800665	0.000000	0.000475	0.015297	0.135695	0.054587	0.000000e+00	0.029289	3.393200	0.073321	0.003841	4.471900e+01	2.784700	0.366370	0.001730	1.043500	1.592183	0.426810	0.001483	0.053836	0.021876	0.000000	65.626500	34.217000	0.003891	0.603425	1.502100e+01	-0.048988	-0.036457	0.749810	0.177200	0.122370	0.668710	0.951525	1.462100e+01	0.005132	0.006796	0.875270	0.000000	5.660650e+00	4.486350	4.068750e+01	3.062300	2.046000	0.000000
50%	0.043034	0.464140	0.198560	1.606900	1.603100e+00	0.000000	0.050945	1.112600	1.199000	0.515500	0.068104	0.155790	0.066283	0.050953	8.055600e+02	0.235110	2.154400	0.050953	0.031838	34.429000	0.954180	0.054633	0.026981	0.158720	0.377690	0.213070	1.091000e+00	0.467590	3.932100	0.216220	0.039603	7.753900e+01	4.680900	2.051600	0.053054	1.586900	4.761283	0.628750	0.033992	0.196770	0.079304	0.034760	99.226000	54.437000	0.272350	1.061200	3.714300e+01	0.009653	0.005946	1.232000	0.326570	0.211890	1.210300	1.383400	8.822900e+02	0.051826	0.106880	0.953020	0.002976	1.035700e+01	6.679000	7.062600e+01	5.139600	4.122300	0.000000
75%	0.123805	0.689330	0.419545	2.961650	5.606300e+01	0.072584	0.142275	2.865700	2.059100	0.725635	0.161090	0.570720	0.133570	0.142275	2.188350e+03	0.643040	3.935450	0.142285	0.087584	63.725000	1.101600	0.145890	0.075938	0.376850	0.614100	0.588845	5.315650e+00	1.600900	4.449950	0.426480	0.099067	1.296850e+02	8.085000	4.776050	0.145730	2.380750	18.046300	0.788415	0.091106	0.746315	0.197770	0.091313	141.680000	81.007000	1.012200	2.046450	7.013300e+01	0.100710	0.059593	2.309650	0.525190	0.354290	2.311100	2.477900	4.348900e+03	0.130300	0.271310	0.995970	0.240320	2.304200e+01	10.605000	1.182800e+02	8.897800	9.927550	0.000000
max	52.652000	480.730000	17.708000	53433.000000	6.854400e+05	45.533000	52.652000	53432.000000	740.440000	11.837000	52.652000	8259.400000	4972.000000	52.652000	1.023600e+07	8259.400000	53433.000000	53.689000	123.940000	91600.000000	29907.000000	47.597000	123.940000	179.920000	8.834500	8262.300000	2.723000e+06	6233.300000	9.619900	2940.500000	60.430000	6.674200e+06	2787.900000	6348.500000	47.597000	169.500000	136090.000000	13.656000	293.150000	2883.000000	288770.000000	165.950000	254030.000000	254030.000000	113280.000000	53433.000000	2.591100e+06	47.597000	178.890000	53433.000000	480.730000	84827.000000	6234.300000	6234.300000	3.380500e+06	293.150000	552.640000	18118.000000	7617.300000	3.660200e+06	4470.400000	1.073500e+06	1974.500000	21499.000000	1.000000

(10503, 65)
--------------------------------------------------------------
For df4

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
count	9792.000000	9792.000000	9792.000000	9792.000000	9.792000e+03	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9.792000e+03	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9.792000e+03	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9.792000e+03	9.792000e+03	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9.792000e+03	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9792.000000	9.792000e+03	9792.000000	9792.000000	9792.000000
mean	0.043017	0.596361	0.131759	10.784688	6.464803e+01	-0.059267	0.059442	30.607448	1.882296	0.389428	0.075413	-0.152779	0.371294	0.059456	3.016638e+03	0.256037	31.703435	0.064576	-0.055214	62.680749	1.214496	0.066677	-0.121073	0.221067	0.223243	0.077967	1.101759e+03	6.872837	3.946464	4.949311	0.010554	355.444266	8.631810	4.939536	0.058567	2.080354	80.525819	0.487569	-1.105256	3.889185	0.957147	-0.437232	9.450077e+02	8.823263e+02	6.843688	9.921677	118.947616	-0.001889	-0.592077	9.641245	0.469281	9.984728	6.279313	7.554129	7.686330e+03	-1.024630	0.035001	1.134994	0.855972	117.809482	25.402031	2.012307e+03	8.703926	36.738615	0.052594
std	0.359303	4.586889	4.559528	340.208103	1.474356e+04	6.812406	0.533317	821.378741	17.674650	4.590225	0.528205	79.899948	38.923280	0.533317	1.022314e+05	83.944920	821.521081	0.736105	27.135406	376.810459	5.883079	0.506632	25.371580	8.225950	4.852335	79.780896	3.045197e+04	147.237060	0.865671	341.447279	27.030784	6148.533867	69.903393	58.682667	0.485730	17.343430	558.088205	4.578352	77.007356	102.428213	40.801216	14.606795	3.582082e+04	3.579737e+04	187.626536	340.191040	2014.497875	0.527593	16.258161	334.269488	4.554638	893.819499	90.824063	145.328439	7.605261e+04	76.958732	8.944908	8.034361	26.391958	3130.674451	1097.726348	1.170204e+05	60.724465	483.024610	0.223233
min	-12.458000	0.000000	-445.910000	-0.045319	-3.794600e+05	-486.820000	-12.458000	-1.848200	-0.032371	-445.910000	-12.244000	-6331.800000	-1460.600000	-12.458000	-1.567500e+06	-6331.800000	0.000857	-12.458000	-1578.700000	0.000000	-1.146300	-12.244000	-1578.700000	-314.370000	-466.340000	-6331.800000	-2.590100e+05	-990.020000	-0.440090	-4940.000000	-1495.600000	0.000000	0.000000	-756.500000	-9.043100	-0.000014	-3.715000	-445.910000	-7522.000000	-8.833300	-1086.800000	-719.800000	-1.158700e+05	-1.158700e+05	-2834.900000	-6.639200	-3.630700	-13.815000	-837.860000	-0.045239	0.000000	0.000000	-1033.700000	-1033.700000	-7.132200e+05	-7522.100000	-597.420000	-30.892000	-284.380000	0.000000	-12.656000	-1.496500e+04	-0.024390	-0.000015	0.000000
25%	0.001322	0.263110	0.020384	1.048500	-5.115325e+01	-0.000577	0.003005	0.428932	1.006675	0.294510	0.009466	0.007451	0.021122	0.003009	2.177925e+02	0.061871	1.450500	0.003009	0.001893	15.240000	0.918760	0.000000	0.000912	0.004293	0.135630	0.057580	0.000000e+00	0.036408	3.398475	0.082006	0.004367	47.289500	2.707125	0.296520	0.000875	1.030950	1.725950	0.419790	0.000658	0.051356	0.024994	0.000000	6.890000e+01	3.652625e+01	0.007143	0.615648	15.931250	-0.047384	-0.035511	0.769328	0.185188	0.129268	0.688100	0.948315	2.184000e+01	0.003030	0.008740	0.885667	0.000000	5.460725	4.268975	4.318300e+01	2.946325	2.036675	0.000000
50%	0.041356	0.467710	0.199335	1.597600	-5.263900e-02	0.000000	0.048801	1.092450	1.161300	0.510490	0.062527	0.143700	0.063800	0.048840	9.077700e+02	0.219500	2.138050	0.048840	0.030947	35.614000	1.044500	0.050134	0.025891	0.150140	0.386840	0.199305	1.022850e+00	0.482785	3.976300	0.226700	0.037932	81.196500	4.476900	1.974650	0.046857	1.559450	4.938283	0.613275	0.030418	0.183875	0.089485	0.032341	1.035100e+02	5.792550e+01	0.239398	1.043800	38.559500	0.006994	0.004555	1.232650	0.336645	0.221740	1.223050	1.393050	9.503300e+02	0.043677	0.098026	0.958330	0.002138	9.888450	6.288000	7.472450e+01	4.853800	4.117300	0.000000
75%	0.111125	0.689183	0.410745	2.900575	5.590025e+01	0.065245	0.126930	2.700250	1.970225	0.714300	0.140797	0.515295	0.128035	0.126960	2.412200e+03	0.601703	3.800000	0.126960	0.083378	65.658500	1.207625	0.126725	0.071735	0.360920	0.614127	0.543880	5.564425e+00	1.625175	4.498475	0.434240	0.093571	133.810000	7.653675	4.517775	0.126400	2.284325	19.896500	0.777448	0.080874	0.673687	0.217195	0.081604	1.481875e+02	8.530150e+01	0.880343	1.980200	71.249000	0.084434	0.051082	2.277300	0.530743	0.366030	2.316025	2.466125	4.694550e+03	0.117230	0.242615	0.996200	0.211710	21.076750	9.940650	1.233825e+02	8.384200	9.713900	0.000000
max	20.482000	446.910000	22.769000	27146.000000	1.034100e+06	322.200000	38.618000	53209.000000	1704.800000	12.602000	38.618000	3340.900000	2707.700000	38.618000	8.085500e+06	4401.300000	53210.000000	50.266000	1082.600000	26606.000000	396.160000	38.618000	879.860000	400.590000	12.602000	3594.600000	2.037300e+06	11864.000000	9.651800	29526.000000	1083.100000	385590.000000	5534.100000	4260.200000	38.618000	1704.800000	24487.000000	12.602000	112.020000	8007.100000	3443.400000	160.110000	3.020000e+06	3.020000e+06	10337.000000	27146.000000	140990.000000	33.535000	107.680000	27146.000000	446.910000	88433.000000	4784.100000	11678.000000	6.123700e+06	112.020000	226.760000	668.750000	1661.000000	251570.000000	108000.000000	1.077900e+07	5662.400000	21153.000000	1.000000

(9792, 65)
--------------------------------------------------------------
For df5

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
count	5910.000000	5910.000000	5910.000000	5910.000000	5.910000e+03	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5.910000e+03	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5.910000e+03	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000	5.910000e+03	5910.000000	5910.000000	5910.000000	5910.000000	5.910000e+03	5910.000000	5910.000000	5910.000000	5910.000000	5910.000000
mean	-0.048154	0.464922	0.190792	4.958724	2.017032e+01	-0.003837	-0.137701	5.888105	1.587933	0.561018	-0.035843	1.071645	0.354420	-0.137676	1.033463e+03	1.195420	6.984892	-0.128375	-0.090248	56.671984	2.426487	-0.027625	-0.096856	0.107824	0.390493	1.098535	473.384498	10.233857	4.152761	0.847846	-0.065775	2.114650e+03	8.348896	5.025576	-0.031232	2.107799	141.503679	0.668367	0.017169	2.263236	2.164053	-0.015133	155.555922	98.884058	63.492331	4.067669	146.766057	-0.119122	-0.071043	4.226296	0.425502	0.769170	11.653901	12.556654	1.081731e+04	0.057222	-0.263385	0.956504	0.279185	8.740650e+02	11.230318	241.978184	9.173648	66.455853	0.069374
std	6.474572	5.749828	1.183723	91.291129	2.150931e+04	10.193818	9.269887	102.298844	1.548548	5.877657	6.377565	35.217041	30.918776	9.269887	1.300619e+05	37.266561	102.304566	9.297717	5.444892	168.125493	99.674555	5.925400	5.418386	7.564377	4.293351	35.344025	9933.993656	299.608122	0.835699	19.077521	5.258337	8.448366e+04	102.200167	100.083605	5.938230	13.470491	1456.931784	7.206782	0.709789	57.635399	82.494705	2.437361	782.620733	719.836958	4761.647257	91.133646	3342.330554	7.448753	2.456258	90.823526	1.091588	13.139065	313.675801	319.765151	7.956401e+04	0.698096	18.420427	0.857326	5.839075	6.268330e+04	42.821876	6221.135690	102.898497	2134.800336	0.254110
min	-463.890000	-430.870000	-72.067000	-0.403110	-1.076400e+06	-463.890000	-517.480000	-3.735100	-3.496000	-71.444000	-463.890000	-231.850000	-310.340000	-517.480000	-9.632400e+06	-221.330000	-0.002321	-517.480000	-310.800000	-29.340000	-135.150000	-431.590000	-310.890000	-463.890000	-71.444000	-221.330000	-158130.000000	-1089.700000	0.006359	-23.060000	-310.800000	-2.551000e+02	-1.433400	-16.015000	-431.590000	0.000191	-4.325800	-71.444000	-47.047000	-9.068600	-269.990000	-143.520000	-3975.600000	-3946.200000	-3037.300000	-9.049000	-18.658000	-542.560000	-144.800000	-0.012175	-0.186610	-0.697640	-1088.700000	-1088.700000	-1.118500e+06	-46.788000	-1236.300000	-0.164390	-184.980000	-1.244000e+01	-0.092493	-236.530000	-1.543200	-3.726500	0.000000
25%	0.003963	0.255100	0.043976	1.097200	-4.374800e+01	0.000000	0.005887	0.482790	1.014725	0.319095	0.015193	0.015756	0.024002	0.005887	2.335050e+02	0.074247	1.511100	0.005887	0.004098	18.280250	0.986352	0.000000	0.002571	0.021130	0.178042	0.069068	0.074293	0.083046	3.648725	0.085630	0.006764	4.958525e+01	2.758600	0.249485	0.007604	1.071725	2.015775	0.434198	0.004999	0.051432	0.030179	0.000000	75.524750	38.891750	0.016987	0.641160	19.652000	-0.031715	-0.023905	0.830772	0.185020	0.135490	0.751085	0.992862	8.791225e+01	0.010996	0.015770	0.876552	0.000000	5.357575e+00	4.279050	44.646750	3.070500	2.164125	0.000000
50%	0.046664	0.451610	0.219470	1.657200	5.335150e-01	0.000000	0.056485	1.156050	1.139650	0.523495	0.070751	0.168710	0.067775	0.056533	8.721650e+02	0.237180	2.213200	0.056533	0.035204	38.618000	1.114850	0.061064	0.030100	0.162765	0.424905	0.212940	1.005696	0.534690	4.174600	0.224210	0.043071	8.105700e+01	4.488750	1.708850	0.060631	1.560900	6.305163	0.620985	0.039491	0.179795	0.091771	0.040083	106.405000	58.788500	0.267318	1.071950	42.190500	0.018873	0.011932	1.289250	0.329645	0.220825	1.288700	1.434700	1.802800e+03	0.053218	0.109905	0.950370	0.005687	9.264350e+00	6.203950	73.778500	4.941600	4.177500	0.000000
75%	0.117055	0.661530	0.418470	2.944125	4.894250e+01	0.108490	0.136927	2.806750	1.825875	0.720990	0.148307	0.545590	0.135107	0.136950	2.255425e+03	0.640867	3.915875	0.136950	0.088418	67.663500	1.264400	0.136415	0.075734	0.358127	0.635120	0.580510	4.489475	1.624600	4.668675	0.406238	0.098763	1.315025e+02	7.332975	4.040700	0.138140	2.235575	27.362687	0.773778	0.090451	0.681940	0.209320	0.089959	148.460000	85.239500	0.845777	1.988675	74.145000	0.095487	0.059704	2.359800	0.517502	0.358505	2.330275	2.471250	7.705100e+03	0.125085	0.243090	0.990405	0.204990	1.838200e+01	9.374700	118.720000	8.161500	9.474225	0.000000
max	87.459000	72.416000	28.336000	6845.800000	1.250100e+06	543.250000	5.530000	6868.500000	65.607000	339.850000	6.388000	2470.300000	2340.200000	5.530000	1.341700e+06	2837.400000	6869.500000	55.125000	77.244000	9928.500000	7661.500000	15.541000	77.244000	252.340000	266.860000	2689.100000	565940.000000	21701.000000	9.698300	1236.700000	77.244000	4.277200e+06	7590.500000	7590.500000	15.541000	965.660000	67922.000000	467.770000	2.901100	4303.200000	5043.300000	40.386000	40515.000000	40515.000000	366030.000000	6845.800000	185610.000000	15.541000	16.866000	6845.800000	72.416000	666.110000	21702.000000	21702.000000	4.212200e+06	1.651000	87.981000	47.788000	308.150000	4.818700e+06	1308.500000	451380.000000	7641.300000	158180.000000	1.000000

(5910, 65)
--------------------------------------------------------------

Q1_1 = df1.quantile(0.1)
Q3_1 = df1.quantile(0.99)
IQR_1 = Q3_1 - Q1_1
df1 = df1[~((df1 < (Q1_1 - 1.5 * IQR_1)) |(df1 > (Q3_1 + 1.5 * IQR_1))).any(axis=1)]

Q1_2 = df2.quantile(0.1)
Q3_2 = df2.quantile(0.99)
IQR_2 = Q3_2 - Q1_2
df2 = df2[~((df2 < (Q1_2 - 1.5 * IQR_2)) |(df2 > (Q3_2 + 1.5 * IQR_2))).any(axis=1)]

Q1_3 = df3.quantile(0.1)
Q3_3 = df3.quantile(0.99)
IQR_3 = Q3_3 - Q1_3
df3 = df3[~((df3 < (Q1_3 - 1.5 * IQR_3)) |(df3 > (Q3_3 + 1.5 * IQR_3))).any(axis=1)]

Q1_4 = df4.quantile(0.1)
Q3_4 = df4.quantile(0.99)
IQR_4 = Q3_4 - Q1_4
df4 = df4[~((df4 < (Q1_4 - 1.5 * IQR_4)) |(df4 > (Q3_4 + 1.5 * IQR_4))).any(axis=1)]

Q1_5 = df5.quantile(0.1)
Q3_5 = df5.quantile(0.99)
IQR_5 = Q3_5 - Q1_5
df5 = df5[~((df5 < (Q1_5 - 1.5 * IQR_5)) |(df5 > (Q3_5 + 1.5 * IQR_5))).any(axis=1)]

 df_list = [df1,df2,df3,df4,df5]
print("After removing outliers\n")
for i in range(5):
    print("For df"+str(i+1))
    display(df_list[i].describe())
    print(df_list[i].shape)
    print("--------------------------------------------------------------")

After removing outliers

For df1

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
count	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000	6351.000000
mean	0.107794	0.491066	0.195365	2.239701	3.956925	0.081306	0.126537	2.126796	1.727281	0.486845	0.137861	0.625710	0.102880	0.126537	1714.452761	0.688551	3.220889	0.126537	0.068037	45.190705	1.215765	0.125281	0.057756	0.223831	0.398954	0.620059	53.532774	1.619959	4.207234	0.263018	0.076735	96.820192	6.442585	3.063574	0.125225	2.096178	32.153708	0.568067	0.067776	0.564476	0.204364	0.067028	104.753279	59.562577	1.688148	1.518783	51.651833	0.071116	0.032080	1.826515	0.392090	0.264690	2.235381	2.450770	7183.993252	0.093544	0.232436	0.908139	0.285458	27.927378	9.994266	86.394470	7.210335	13.915279	0.037474
std	0.142004	0.249210	0.251682	2.501923	368.883086	0.220293	0.156473	3.633163	1.193907	0.247500	0.159005	1.299070	0.103299	0.156473	5078.102718	1.302240	3.787054	0.156473	0.092400	40.373083	0.503871	0.154092	0.084089	0.264183	0.280044	1.209183	479.174888	5.266840	0.631656	0.324000	0.103252	89.058340	6.577681	4.476631	0.157476	1.321243	104.452642	0.228231	0.092951	1.428029	0.791020	0.087887	61.732092	41.165891	6.526527	1.997429	50.028054	0.178101	0.102312	2.203251	0.225922	0.244750	5.165382	5.193063	28492.882515	0.126912	0.379559	0.125696	0.876804	89.603764	12.687973	77.544558	7.380492	43.709543	0.189936
min	-0.531970	0.015931	-1.366100	0.140660	-3429.300000	-1.312100	-0.533100	-0.491080	0.049636	-0.933580	-0.498110	-9.902800	-0.427110	-0.533100	-40584.000000	-1.707500	0.517180	-0.533100	-0.554880	0.000000	0.235030	-0.519380	-0.554880	-1.269200	-1.213400	-1.707500	-5466.700000	-20.934467	2.213600	-1.333000	-0.554880	0.000000	0.204040	-1.738500	-0.834210	0.049636	0.000000	-0.779960	-0.586920	-1.725500	-7.590600	-0.573160	1.941300	0.000000	-59.554000	-0.152830	0.000000	-1.227400	-0.645680	0.066379	0.000000	0.000000	-20.508000	-20.113220	-246070.000000	-0.561950	-2.754700	0.063370	-7.681600	0.831910	0.647520	0.000000	0.286220	0.054670	0.000000
25%	0.025040	0.299960	0.036035	1.079750	-42.763000	0.000000	0.031717	0.477315	1.038850	0.315860	0.041487	0.074566	0.040898	0.031717	402.060000	0.134220	1.502950	0.031717	0.017323	17.983500	1.039210	0.027898	0.013692	0.058184	0.210100	0.120795	0.300210	0.066005	3.748100	0.097971	0.021564	48.907000	3.144400	0.259765	0.028223	1.282250	2.009852	0.425780	0.015532	0.052343	0.039253	0.014995	65.969500	34.430000	0.121020	0.621215	19.472000	-0.013007	-0.007914	0.828430	0.220580	0.133690	0.739070	0.984815	182.175000	0.022092	0.062829	0.867375	0.000000	6.031950	4.884400	44.084500	3.502500	2.582400	0.000000
50%	0.078315	0.476930	0.185470	1.510600	-5.957300	0.000000	0.092043	1.042100	1.196100	0.497360	0.105220	0.259860	0.082146	0.092043	972.200000	0.318610	2.096700	0.092043	0.051588	36.048000	1.147400	0.091184	0.044166	0.172390	0.407020	0.283440	1.350600	0.458370	4.146800	0.206330	0.058250	75.696000	4.831800	1.747200	0.090289	1.805100	5.353967	0.592730	0.049423	0.155420	0.091699	0.050221	94.612000	51.812000	0.425710	0.966510	39.573000	0.046925	0.025211	1.201000	0.358240	0.207120	1.192500	1.366600	1709.100000	0.064197	0.178630	0.938220	0.035310	10.086000	7.043500	68.165000	5.354700	4.595800	0.000000
75%	0.160560	0.665355	0.360220	2.430400	36.322500	0.157160	0.188075	2.243850	2.062700	0.671215	0.200070	0.680315	0.144130	0.188075	2165.800000	0.713945	3.333800	0.188075	0.104660	60.386500	1.284700	0.186150	0.088561	0.339140	0.604135	0.639095	6.614400	1.269350	4.596050	0.357275	0.114515	116.460000	7.473100	4.117250	0.190635	2.562450	19.472383	0.739555	0.105420	0.497990	0.201515	0.103225	129.535000	74.728000	1.169525	1.629100	68.185000	0.143355	0.076470	1.950500	0.530405	0.318715	2.003100	2.123050	6120.500000	0.135170	0.347665	0.979650	0.277665	19.833500	10.596000	104.210000	8.277800	9.388200	0.000000
max	1.577000	1.933600	0.949840	37.036000	5217.000000	2.024300	1.577000	57.911000	15.218000	0.977600	1.816100	19.902000	1.067700	1.577000	69650.000000	21.610000	62.770000	1.577000	0.930340	438.750000	11.091000	1.569200	0.930340	2.795100	1.229600	19.247000	10468.000000	94.269000	9.386100	5.436400	1.041500	1788.900000	124.700000	70.812000	1.536900	18.035000	1627.600000	0.988080	0.939470	22.640000	11.941000	0.939470	802.050000	563.690000	127.400000	33.407000	585.650000	1.551500	0.802110	37.036000	1.761600	4.901000	119.170000	119.170000	385900.000000	1.000000	4.337100	1.562000	13.509000	1832.400000	197.890000	1275.200000	134.590000	819.460000	1.000000

(6351, 65)
--------------------------------------------------------------
For df2

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
count	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000	8997.000000
mean	0.073140	0.498262	0.202568	2.593491	27.508333	0.050574	0.088665	2.504737	1.818879	0.484485	0.109569	0.560677	0.082367	0.088665	1441.156356	0.661512	3.574503	0.088665	0.044544	46.120486	0.967938	0.101364	0.035894	0.216455	0.359130	0.594434	158.369966	2.300323	3.967592	0.280496	0.053824	101.630015	7.055759	4.108102	0.097656	2.073696	36.261158	0.569686	0.052150	0.757430	0.230703	0.054598	107.921728	61.801220	1.566605	1.803583	52.408492	0.044690	0.016660	2.082357	0.392740	0.277712	2.834436	3.102158	5069.995418	0.085483	0.154468	0.920151	0.277582	32.427317	10.876814	90.692210	7.820872	17.131676	0.038013
std	0.168141	0.280899	0.289371	3.621168	614.596427	0.230200	0.182704	5.030134	1.344499	0.280231	0.180249	1.561789	0.130232	0.182704	6985.827073	1.531519	5.107786	0.182704	0.120981	47.270853	0.338662	0.167643	0.112210	0.325451	0.323082	1.421983	1543.230224	8.985593	0.769911	0.433031	0.133087	113.044458	8.077514	6.738282	0.174677	1.411806	148.555770	0.256289	0.108437	2.127563	1.211495	0.103543	74.092822	52.490865	7.860262	2.876780	58.997572	0.197708	0.123677	3.112813	0.252159	0.311084	8.419123	8.674382	23743.249654	0.156950	0.624866	0.157666	1.061530	98.110502	15.589612	90.998036	8.879230	60.700698	0.191237
min	-1.251400	0.000000	-1.367300	0.044689	-5700.700000	-1.478500	-1.278900	-0.550760	0.000000	-1.050400	-1.059900	-14.684000	-0.858960	-1.278900	-58962.000000	-10.262000	0.000000	-1.278900	-0.883620	0.000000	0.000000	-1.023700	-0.822120	-1.439100	-1.518200	-10.262000	-18674.000000	-57.795000	0.610660	-5.545400	-0.915040	0.000000	0.000000	-9.151600	-1.146300	0.000000	-2.760700	-0.944690	-0.705000	-12.545000	-12.328000	-0.698330	0.000000	0.000000	-58.681000	-8.242900	-0.204510	-1.379500	-0.898330	0.005864	0.000000	0.000000	-88.287000	-57.479000	-198780.000000	-0.705000	-5.375300	-0.175640	-9.309900	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
25%	0.003739	0.281660	0.023395	1.055100	-46.524000	0.000000	0.006932	0.442850	1.034200	0.301060	0.019965	0.016709	0.023823	0.006932	236.310000	0.080000	1.463900	0.006932	0.004084	14.725000	0.748633	0.005393	0.002230	0.032977	0.160490	0.072774	0.128660	0.045843	3.469500	0.083307	0.007062	44.894000	2.995500	0.414410	0.010779	1.209000	1.764500	0.418650	0.006320	0.054454	0.030862	0.003219	62.810000	33.121000	0.017304	0.603910	15.878000	-0.032235	-0.019756	0.785660	0.199660	0.122690	0.703480	0.962560	46.155000	0.013937	0.015342	0.874520	0.000000	5.839900	4.811100	40.491000	3.263200	2.383000	0.000000
50%	0.054132	0.480430	0.194460	1.539600	-1.876200	0.000000	0.066008	1.038800	1.302600	0.498930	0.086908	0.185480	0.068889	0.066008	846.260000	0.255150	2.081200	0.066008	0.037205	33.763000	0.957730	0.074411	0.030411	0.157740	0.370570	0.230040	1.253500	0.465000	3.965000	0.209110	0.044299	75.905000	4.816100	2.259600	0.072110	1.748300	4.913900	0.604800	0.040800	0.171000	0.088308	0.042414	94.387000	51.866000	0.303810	1.004700	36.942000	0.028900	0.015758	1.214300	0.350990	0.207250	1.205200	1.380800	986.940000	0.056924	0.129070	0.947720	0.014518	10.544000	7.024400	68.691000	5.310100	4.568000	0.000000
75%	0.142400	0.683040	0.393950	2.683900	48.033000	0.092632	0.167440	2.484800	2.237900	0.697120	0.188070	0.633720	0.130140	0.167440	2170.900000	0.699580	3.548700	0.167440	0.092962	61.615000	1.102300	0.169900	0.078899	0.353790	0.593370	0.623190	6.134100	1.476600	4.463000	0.381400	0.103190	121.810000	8.138300	4.954600	0.169730	2.557000	17.573000	0.760820	0.095971	0.618710	0.201980	0.097306	134.040000	75.740000	1.081400	1.828100	68.747000	0.125260	0.069334	2.120300	0.538510	0.332720	2.197100	2.345500	4322.500000	0.131960	0.302070	0.990250	0.266040	22.293000	11.018000	111.520000	9.000800	10.333000	0.000000
max	1.790700	2.050400	0.978310	58.070000	9557.800000	2.100600	1.790700	92.777000	17.335000	1.000000	1.792000	25.452000	1.411400	1.790700	90354.000000	26.460000	93.777000	1.790700	1.309400	610.620000	5.412900	1.790400	1.137700	3.453000	0.985620	23.691000	30008.004533	169.540000	9.464800	10.607000	1.309400	3005.900000	143.770000	97.106000	1.795900	17.335000	2942.900000	1.000000	1.137100	42.082000	20.239000	1.137100	1048.200000	1041.700000	157.240000	49.577000	854.730000	1.730100	1.084800	56.622000	1.944700	8.235300	156.320000	156.320000	342610.000000	1.000000	7.936000	2.021700	15.123000	1877.700000	262.180000	1816.000000	138.500000	1136.800000	1.000000

(8997, 65)
--------------------------------------------------------------
For df3

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
count	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000	9262.000000
mean	0.061139	0.479817	0.214805	2.806064	11.667741	0.043886	0.074371	2.772316	1.679004	0.503010	0.092852	0.493217	0.083026	0.074371	1699.539634	0.611689	3.848711	0.074371	0.041166	48.955863	0.989083	0.084538	0.033146	0.228303	0.373896	0.552468	100.053248	2.360767	3.966817	0.295468	0.050130	104.420171	6.939213	3.943555	0.080444	1.902977	44.320428	0.590710	0.044299	0.880076	0.213245	0.047548	114.017992	65.062169	1.394213	1.986063	55.057069	0.027133	0.005508	2.245593	0.371594	0.284863	2.920416	3.177254	5676.518260	0.077642	0.149364	0.925065	0.297981	33.307505	10.379976	94.139836	7.645229	14.941523	0.044699
std	0.160123	0.285574	0.296428	4.014950	524.767994	0.251149	0.172701	5.427576	1.210767	0.284777	0.174732	1.436248	0.128584	0.172701	7738.921258	1.482800	5.513106	0.172701	0.116773	52.196083	0.352896	0.167760	0.109495	0.375502	0.337599	1.386706	1214.529792	9.057420	0.781229	0.513842	0.129970	128.512882	7.893916	6.522124	0.175680	1.313672	198.435069	0.256066	0.116289	2.424893	1.164462	0.109001	79.010304	56.159931	8.154473	3.260119	64.401461	0.198301	0.130527	3.438382	0.251220	0.350930	8.771998	8.864836	24315.690122	0.164591	0.594496	0.160437	1.241899	119.752405	15.125167	103.573100	8.670688	47.017009	0.206653
min	-1.182500	0.000000	-1.328900	0.037783	-4985.600000	-1.651100	-1.182500	-0.547400	0.000000	-1.209500	-1.179600	-11.508000	-0.798700	-1.182500	-63334.000000	-11.508000	0.452600	-1.182500	-0.847210	0.000000	0.000000	-1.181100	-0.847270	-1.899800	-1.603800	-11.508000	-14602.000000	-62.982000	1.554200	-1.800500	-0.976780	0.000000	0.000000	-12.711000	-1.161600	0.000000	-0.293940	-0.926420	-0.779790	-7.081900	-12.232000	-0.809970	0.000000	0.000000	-88.206000	-6.469200	-0.276570	-1.422500	-0.973670	0.008898	0.000000	0.000000	-62.953000	-62.953000	-197490.000000	-0.779790	-4.769000	-0.425840	-11.945000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
25%	0.003793	0.258207	0.033707	1.079125	-46.589250	0.000000	0.006324	0.483293	1.017900	0.319810	0.016069	0.015947	0.025576	0.006324	261.052500	0.078275	1.505750	0.006324	0.004039	15.815750	0.809920	0.000000	0.002473	0.031163	0.172260	0.072327	0.063520	0.061653	3.452525	0.077293	0.007080	45.364750	2.971900	0.398885	0.006177	1.080525	1.659400	0.446730	0.004124	0.055519	0.028852	0.000000	67.037500	35.053750	0.020727	0.628103	16.991250	-0.040283	-0.028929	0.789890	0.181758	0.124220	0.717320	0.981953	59.153500	0.008751	0.011800	0.878358	0.000000	5.687000	4.579775	41.456250	3.236425	2.105425	0.000000
50%	0.046570	0.456355	0.205695	1.628900	2.210600	0.000000	0.056194	1.146700	1.199550	0.523865	0.072557	0.172015	0.069613	0.056194	880.095000	0.251345	2.191300	0.056194	0.034987	35.320000	0.956715	0.061570	0.029428	0.172845	0.398975	0.228225	1.168800	0.483140	3.972150	0.211605	0.042070	76.232500	4.784500	2.127300	0.060208	1.598600	4.737820	0.632160	0.037520	0.195270	0.084593	0.038737	99.614500	54.453000	0.292760	1.068950	38.445500	0.015703	0.009245	1.250250	0.323435	0.208225	1.232200	1.399750	1029.000000	0.053279	0.109390	0.951725	0.010558	10.204000	6.696950	69.727000	5.234200	4.096050	0.000000
75%	0.124993	0.664115	0.412253	2.896875	52.915000	0.089721	0.143435	2.788600	2.025950	0.720730	0.162378	0.578355	0.132208	0.143435	2225.500000	0.635992	3.872800	0.143435	0.087793	63.913500	1.100375	0.149438	0.075931	0.383852	0.620447	0.582087	5.369000	1.543725	4.463425	0.398162	0.098651	122.815000	8.037050	4.731525	0.149572	2.353275	17.743247	0.781587	0.093036	0.712002	0.197023	0.092630	139.372500	79.628000	0.992095	1.985400	70.607000	0.103818	0.060757	2.273125	0.506605	0.334723	2.265375	2.419200	4735.075000	0.127208	0.263402	0.992968	0.260740	21.438500	10.407500	112.687500	8.798500	9.452300	0.000000
max	1.338900	2.209500	0.973700	77.250000	8361.400000	2.190100	1.647100	91.709000	12.828000	1.000000	1.685000	23.217000	0.997980	1.647100	96426.000000	26.736000	92.709000	1.647100	0.917740	669.250000	5.184000	1.494400	0.917740	4.100900	0.981090	24.071000	26042.000000	154.260000	9.619900	11.227000	1.248400	3299.100000	129.990000	102.250000	1.347300	16.713000	3483.100000	1.349800	0.876470	49.980000	20.496000	1.077200	1257.900000	1093.800000	155.290000	56.989000	907.870000	1.457700	0.876470	55.768000	1.926400	9.038600	155.260000	155.260000	327090.000000	1.000000	7.532200	2.317300	19.747000	2414.500000	249.470000	2291.500000	135.350000	976.050000	1.000000

(9262, 65)
--------------------------------------------------------------
For df4

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
count	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000	8604.000000
mean	0.057591	0.481791	0.217621	2.915469	17.675153	0.030517	0.069325	2.901325	1.613910	0.499885	0.082356	0.470218	0.081389	0.069325	1745.350724	0.584271	3.984993	0.069325	0.041091	50.292745	1.106988	0.073958	0.033593	0.210940	0.372788	0.528754	101.289524	2.551187	4.004938	0.301218	0.049649	107.149608	6.683974	3.771588	0.068849	1.836603	51.269762	0.581371	0.039909	0.948378	0.210918	0.043982	120.044294	69.751535	1.252464	2.086735	55.792411	0.020481	0.003515	2.358264	0.377599	0.291261	3.076652	3.370735	6574.700120	0.069760	0.131807	0.929900	0.253503	31.307323	9.749610	98.156106	7.331084	15.519290	0.047885
std	0.144676	0.287523	0.299150	4.972527	504.807133	0.258827	0.155106	6.790253	1.159894	0.286890	0.155113	1.495099	0.127866	0.155106	6945.124832	1.509725	6.863448	0.155106	0.116690	53.983630	0.364556	0.148843	0.109307	0.393346	0.342531	1.401146	1131.271093	9.489949	0.801773	0.553237	0.128906	125.113150	7.920089	6.613479	0.158578	1.261603	211.939467	0.261159	0.115915	3.233955	1.126365	0.107979	87.021362	64.378200	7.926373	4.171400	64.297577	0.172968	0.126203	4.442254	0.255612	0.332507	9.247534	9.339663	26753.782745	0.159283	0.519081	0.156643	0.965573	113.632048	14.815246	113.044323	8.730638	49.183592	0.213535
min	-1.001900	0.000000	-1.459400	0.023301	-4911.500000	-1.783500	-1.001900	-0.550890	0.000000	-1.191500	-1.001900	-12.634000	-0.765600	-1.001900	-59858.000000	-12.634000	0.456310	-1.001900	-0.838910	0.000000	0.037691	-0.869410	-0.838910	-2.028900	-1.599400	-12.634000	-12932.000000	-68.614000	0.801200	-5.807800	-1.041800	0.000000	0.000000	-11.327000	-1.061600	0.022109	-0.170720	-0.974880	-0.824790	-0.692250	-11.080000	-0.813580	0.000000	0.000000	-88.917000	-0.019132	-0.002896	-1.211400	-0.939690	0.006038	0.000000	0.000000	-94.338000	-67.614000	-216500.000000	-0.824790	-4.344300	-0.078964	-8.009500	0.448160	0.000000	0.000000	0.000000	0.000000	0.000000
25%	0.004907	0.265703	0.039546	1.089200	-45.258500	0.000000	0.007126	0.491787	1.014175	0.323115	0.015581	0.018367	0.026643	0.007126	309.600000	0.082351	1.516575	0.007126	0.005059	16.949750	0.930335	0.000000	0.003459	0.022406	0.175950	0.075313	0.067872	0.070865	3.477300	0.084550	0.008559	47.658000	2.872750	0.324470	0.005507	1.062225	1.830825	0.440440	0.003964	0.053164	0.032197	0.000000	70.640500	37.262750	0.024923	0.645772	17.801750	-0.038899	-0.027831	0.817813	0.189155	0.130240	0.744180	0.986525	79.237750	0.007377	0.014497	0.889038	0.000000	5.531375	4.371900	43.495750	3.112375	2.100600	0.000000
50%	0.045095	0.456660	0.209165	1.628500	0.796740	0.000000	0.053375	1.137650	1.162400	0.519870	0.066853	0.160250	0.066692	0.053375	995.370000	0.234230	2.189850	0.053375	0.033785	36.802500	1.052750	0.056442	0.028354	0.166010	0.408580	0.214095	1.127700	0.502310	4.024300	0.221070	0.040881	79.312500	4.598033	2.071000	0.053471	1.565100	5.146250	0.618405	0.033737	0.184365	0.095468	0.035539	103.610000	57.968000	0.262520	1.058700	39.944000	0.013496	0.007696	1.265250	0.332830	0.216830	1.256050	1.412800	1169.800000	0.045870	0.101140	0.955965	0.008931	9.753600	6.289000	73.064000	4.984100	4.098200	0.000000
75%	0.113000	0.659360	0.409973	2.850400	53.521750	0.081281	0.128842	2.670800	1.926650	0.711410	0.143182	0.522328	0.126663	0.128842	2447.025000	0.597195	3.763675	0.128842	0.084187	65.510250	1.211000	0.131180	0.072399	0.366120	0.621328	0.538985	5.779100	1.601375	4.521975	0.407035	0.093849	126.731083	7.621675	4.499125	0.130812	2.256375	19.880750	0.773020	0.083695	0.652268	0.214713	0.083806	145.707500	83.415000	0.874495	1.951850	70.885250	0.088438	0.053045	2.261775	0.508162	0.346032	2.311200	2.451100	5115.950000	0.114172	0.239210	0.993022	0.224967	19.709250	9.753900	117.212500	8.363850	9.332400	0.000000
max	1.377400	2.191500	0.987910	83.578000	7803.000000	2.323400	1.377400	140.700000	16.603000	1.000000	1.378400	23.807000	1.503000	1.377400	96561.000000	25.027000	141.760000	1.377400	1.220900	814.450000	5.666600	1.378300	1.157800	4.458200	0.992540	25.027000	22897.000000	157.250000	9.651800	12.931000	1.550200	3037.800000	122.230000	103.840000	1.653200	17.837000	3289.600000	1.000000	0.940960	68.229000	19.442000	1.115100	1456.100000	1456.100000	153.330000	73.801000	957.880000	1.305100	0.940950	82.679000	1.955400	8.322800	158.250000	158.250000	350970.000000	1.000000	6.884700	2.380800	14.050000	2286.000000	257.410000	2983.900000	122.580000	925.540000	1.000000

(8604, 65)
--------------------------------------------------------------
For df5

	Attr1	Attr2	Attr3	Attr4	Attr5	Attr6	Attr7	Attr8	Attr9	Attr10	Attr11	Attr12	Attr13	Attr14	Attr15	Attr16	Attr17	Attr18	Attr19	Attr20	Attr21	Attr22	Attr23	Attr24	Attr25	Attr26	Attr27	Attr28	Attr29	Attr30	Attr31	Attr32	Attr33	Attr34	Attr35	Attr36	Attr37	Attr38	Attr39	Attr40	Attr41	Attr42	Attr43	Attr44	Attr45	Attr46	Attr47	Attr48	Attr49	Attr50	Attr51	Attr52	Attr53	Attr54	Attr55	Attr56	Attr57	Attr58	Attr59	Attr60	Attr61	Attr62	Attr63	Attr64	class
count	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000	5269.000000
mean	0.063921	0.468882	0.230963	2.648179	5.527682	0.047043	0.076792	2.645290	1.539532	0.509002	0.091247	0.467706	0.083765	0.076792	1718.106471	0.559610	3.742173	0.076792	0.046859	51.626154	1.165267	0.083757	0.038719	0.212754	0.404023	0.501211	103.857845	2.513654	4.202739	0.275184	0.055017	102.769863	6.122525	3.072182	0.081970	1.808088	73.304080	0.585499	0.051999	0.733462	0.223064	0.052301	120.470772	68.844595	0.954717	1.818272	58.171691	0.034115	0.015153	2.166854	0.372299	0.279758	3.106075	3.312737	9250.193326	0.079729	0.132674	0.921452	0.251704	23.735026	8.890557	92.876997	6.757477	14.336041	0.055988
std	0.134627	0.271862	0.281443	3.314068	125.064102	0.256471	0.147440	5.316722	1.015953	0.271449	0.147498	1.115713	0.114039	0.147440	6938.180293	1.103769	5.435437	0.147440	0.104018	49.076969	0.345413	0.137778	0.095294	0.357569	0.324877	0.995359	990.809666	10.033039	0.774186	0.409635	0.114386	98.901227	5.623505	4.590886	0.145531	1.144005	327.850470	0.248604	0.098971	1.887951	1.075770	0.092700	71.865141	52.481591	5.494191	2.603084	62.292946	0.157117	0.107099	2.994013	0.243612	0.268020	9.749568	9.757711	32411.302088	0.141167	0.469038	0.141957	0.934278	73.641270	12.275843	85.152728	6.348250	44.950948	0.229920
min	-0.853130	0.000000	-1.413400	-0.403110	-1018.600000	-1.714800	-0.853130	-0.513300	0.064455	-1.054600	-0.853130	-6.510100	-0.761980	-0.853130	-56078.000000	-4.947700	0.486700	-0.853130	-0.762400	0.000000	0.071740	-0.827790	-0.708590	-2.568700	-1.477500	-4.947700	-4504.300000	-64.132000	1.095000	-3.481300	-0.848340	-255.100000	-1.433400	-6.089000	-0.998300	0.055630	-4.325800	-0.804810	-0.600290	-0.342860	-7.667800	-0.549080	0.000000	0.000000	-58.905000	-0.342860	0.000000	-1.155200	-0.753560	0.031968	-0.186610	-0.697640	-63.132000	-63.132000	-280650.000000	-0.685740	-3.883100	-0.164390	-6.950300	0.555770	0.414860	-236.530000	-1.543200	0.048115	0.000000
25%	0.007459	0.258700	0.057415	1.128600	-39.696000	0.000000	0.010859	0.534300	1.020700	0.340020	0.021520	0.027904	0.028879	0.010859	328.900000	0.091443	1.560600	0.010859	0.007135	19.969000	0.998820	0.009052	0.005130	0.040158	0.212700	0.084690	0.182010	0.110700	3.709800	0.090403	0.010886	49.848000	2.938500	0.258820	0.012544	1.097700	2.050267	0.447990	0.008122	0.053285	0.036870	0.005871	77.122000	39.578000	0.039052	0.662900	21.362000	-0.025269	-0.017421	0.871150	0.189980	0.136320	0.792970	1.018600	181.360000	0.014944	0.020838	0.879530	0.000000	5.356000	4.375400	45.116000	3.190700	2.219400	0.000000
50%	0.051488	0.441370	0.224980	1.671500	1.495200	0.000000	0.061477	1.191500	1.140900	0.530950	0.075218	0.184450	0.070141	0.061477	962.610000	0.253720	2.265700	0.061477	0.038589	39.521000	1.121800	0.066970	0.032598	0.173650	0.438500	0.227950	1.082100	0.546970	4.208400	0.219770	0.045983	78.940000	4.625500	1.766300	0.066459	1.572700	6.324033	0.624710	0.042931	0.178560	0.096786	0.043466	106.700000	58.878000	0.287940	1.074400	43.076000	0.023558	0.015255	1.307100	0.326630	0.215620	1.304200	1.450300	2097.800000	0.054256	0.111590	0.948960	0.011835	9.142700	6.199300	72.809000	5.011700	4.148600	0.000000
75%	0.117500	0.640800	0.415130	2.875100	47.355000	0.126180	0.137610	2.746100	1.790000	0.716650	0.149150	0.547190	0.133770	0.137610	2323.200000	0.631880	3.865500	0.137610	0.088810	68.063000	1.267600	0.139610	0.076167	0.362480	0.638900	0.570330	4.557900	1.559700	4.691100	0.383730	0.098837	124.260000	7.334100	4.037100	0.140760	2.208600	27.116967	0.767940	0.091868	0.644200	0.207410	0.090833	147.170000	83.422000	0.840330	1.931600	74.114000	0.097947	0.060330	2.338500	0.503110	0.339110	2.283700	2.422700	8354.700000	0.121660	0.237630	0.987410	0.213890	17.403000	9.218700	114.350000	8.081600	9.087200	0.000000
max	1.095900	2.054600	1.000000	54.931000	1721.700000	1.872400	1.095900	110.290000	14.712000	1.000000	1.200000	13.447000	0.911850	1.095900	92023.000000	15.456000	111.560000	1.095900	0.870980	656.750000	5.182700	1.232100	0.720740	3.382700	1.000000	14.057033	17815.000000	201.800000	9.698300	7.848500	0.872320	2297.400000	69.417000	65.466000	1.114200	13.762000	4967.100000	1.170100	0.608690	32.770000	17.946000	0.874480	959.560000	879.810000	100.790000	45.927000	1080.600000	1.232100	0.833610	54.931000	1.790900	6.294400	202.640000	202.640000	443550.000000	1.000000	6.514400	1.760100	14.239000	1499.500000	199.650000	1266.800000	82.681000	858.180000	1.000000

(5269, 65)
--------------------------------------------------------------

df1.columns = df1.columns.str.replace('Attr','X')
df2.columns = df2.columns.str.replace('Attr','X')
df3.columns = df3.columns.str.replace('Attr','X')
df4.columns = df4.columns.str.replace('Attr','X')
df5.columns = df5.columns.str.replace('Attr','X')

df1.columns = df1.columns.str.replace('class','Y')
df2.columns = df2.columns.str.replace('class','Y')
df3.columns = df3.columns.str.replace('class','Y')
df4.columns = df4.columns.str.replace('class','Y')
df5.columns = df5.columns.str.replace('class','Y')

df_list = [df1,df2,df3,df4,df5]

def find_correlation(df):
    corr = df.corr()
    return corr

for i in range(5):
    print("For df"+str(i+1))
    display(find_correlation(df_list[i]))
    print("--------------------------------------------------------------------------")

For df1

	X1	X2	X3	X4	X5	X6	X7	X8	X9	X10	X11	X12	X13	X14	X15	X16	X17	X18	X19	X20	X21	X22	X23	X24	X25	X26	X27	X28	X29	X30	X31	X32	X33	X34	X35	X36	X37	X38	X39	X40	X41	X42	X43	X44	X45	X46	X47	X48	X49	X50	X51	X52	X53	X54	X55	X56	X57	X58	X59	X60	X61	X62	X63	X64	Y
X1	1.000000	-0.326349	0.396757	0.243474	0.060995	0.324021	0.976090	0.196024	0.223915	0.350181	0.959291	0.616582	0.617992	0.976090	-0.116480	0.559659	0.184568	0.976090	0.755596	-0.196453	0.070247	0.884984	0.773794	0.807262	0.349395	0.557168	0.164943	0.166866	-0.178012	-0.327192	0.729664	-0.235105	0.250266	0.329468	0.848413	0.210854	0.032549	0.287636	0.631880	0.178105	-0.041902	0.693523	-0.188881	-0.090576	0.360163	0.261183	-0.111603	0.773930	0.653678	0.264459	-0.252562	-0.231766	0.187311	0.178512	0.069565	0.470774	0.579025	-0.490181	-0.106375	0.072144	0.063852	-0.314217	0.330514	0.061557	-0.096806
X2	-0.326349	1.000000	-0.653523	-0.537158	-0.153735	-0.362606	-0.327064	-0.615892	0.157183	-0.977546	-0.295013	-0.438299	-0.391524	-0.327064	0.212265	-0.485793	-0.616422	-0.327064	-0.385816	0.013160	0.056913	-0.283673	-0.372246	-0.397627	-0.802015	-0.473757	-0.064370	-0.088306	-0.088727	0.526264	-0.353630	0.399163	-0.426532	-0.293407	-0.288284	0.187928	-0.128233	-0.837651	-0.345021	-0.398118	0.106264	-0.346680	0.055729	0.070665	-0.116784	-0.498082	-0.028754	-0.230574	-0.251006	-0.563739	0.846655	0.396672	-0.140267	-0.106812	-0.244115	-0.246313	0.072203	0.253628	0.273677	0.010713	-0.049761	0.453882	-0.463007	0.148090	0.110387
X3	0.396757	-0.653523	1.000000	0.607453	0.174366	0.269640	0.411518	0.406772	0.031803	0.659289	0.399835	0.399590	0.308078	0.411518	-0.133464	0.404618	0.399223	0.411518	0.384410	0.111366	-0.046914	0.362622	0.366879	0.434185	0.565674	0.387313	0.091422	0.385811	-0.113996	-0.514414	0.359285	-0.430108	0.362551	0.322609	0.365654	-0.005597	0.129787	0.603028	0.332842	0.415973	-0.067178	0.340443	0.123433	0.075878	0.083154	0.548430	0.157311	0.328042	0.328443	0.588437	-0.613648	-0.427586	0.368574	0.368401	0.282004	0.282841	0.077955	-0.289643	-0.130836	-0.028735	-0.103631	-0.499017	0.403922	0.118616	-0.097930
X4	0.243474	-0.537158	0.607453	1.000000	0.162472	0.168459	0.244643	0.807070	-0.065366	0.537761	0.234327	0.675040	0.313337	0.244643	-0.107279	0.674738	0.795869	0.244643	0.339492	0.075643	-0.041590	0.208034	0.332090	0.275641	0.438488	0.664267	0.071798	0.150793	-0.021253	-0.399387	0.323147	-0.293922	0.577573	0.399303	0.205337	-0.126069	0.122697	0.507685	0.281312	0.840888	-0.057032	0.300278	0.056932	0.011188	0.071686	0.949981	0.119706	0.188365	0.248445	0.915740	-0.515024	-0.292438	0.153923	0.148534	0.175679	0.232725	0.009439	-0.239596	-0.091505	-0.027024	-0.015608	-0.326142	0.645514	-0.023223	-0.056923
X5	0.060995	-0.153735	0.174366	0.162472	1.000000	0.044342	0.063378	0.133097	0.034662	0.157317	0.060929	0.111715	0.065809	0.063378	-0.062807	0.111935	0.131515	0.063378	0.082960	-0.078173	-0.016661	0.052768	0.078008	0.073018	0.103733	0.108680	0.037616	0.031836	-0.033268	-0.199128	0.075267	-0.199898	0.115428	0.110231	0.045543	0.023393	0.030682	0.153382	0.064726	0.139641	-0.016404	0.072266	-0.043941	0.010773	0.043574	0.175695	-0.064204	0.042200	0.070558	0.150708	-0.153698	-0.194931	0.032110	0.031498	0.066206	0.025560	-0.027971	-0.030859	0.016095	0.027838	0.003623	-0.195260	0.123166	-0.006152	-0.022760
X6	0.324021	-0.362606	0.269640	0.168459	0.044342	1.000000	0.332103	0.205279	-0.209491	0.331303	0.294376	0.275219	0.307999	0.332103	-0.084216	0.282371	0.213150	0.332103	0.366839	-0.055441	-0.007357	0.340601	0.354888	0.594163	0.505015	0.272053	-0.016745	0.031424	0.230785	-0.227336	0.293786	-0.184650	0.170920	-0.119642	0.335225	-0.010392	0.097040	0.296509	0.362391	0.127272	-0.072327	0.381898	-0.070826	-0.051836	0.077565	0.159318	-0.038899	0.311288	0.348770	0.206821	-0.297378	-0.182731	0.042997	0.034524	0.206198	0.140518	0.136836	-0.152618	-0.035212	-0.000473	0.020718	-0.209269	0.187877	-0.039559	-0.081797
X7	0.976090	-0.327064	0.411518	0.244643	0.063378	0.332103	1.000000	0.192320	0.235197	0.349654	0.983275	0.617829	0.621508	1.000000	-0.126786	0.559773	0.181209	1.000000	0.767056	-0.205285	0.071634	0.923156	0.755449	0.826733	0.355367	0.541481	0.164710	0.176247	-0.180539	-0.341924	0.729135	-0.249607	0.249805	0.328383	0.883005	0.227158	0.038444	0.282291	0.649174	0.184037	-0.057781	0.714120	-0.197179	-0.094358	0.354796	0.264741	-0.123514	0.809305	0.678341	0.268651	-0.248736	-0.245955	0.196231	0.186947	0.076128	0.459719	0.573161	-0.481509	-0.115163	0.085578	0.061501	-0.324576	0.327930	0.075751	-0.092009
X8	0.196024	-0.615892	0.406772	0.807070	0.133097	0.205279	0.192320	1.000000	-0.103644	0.611097	0.176040	0.661578	0.335043	0.192320	-0.120391	0.756557	0.993450	0.192320	0.326016	0.004591	-0.022667	0.161131	0.321215	0.243162	0.497837	0.754086	0.059665	0.041513	0.046427	-0.390724	0.304057	-0.258168	0.551704	0.379244	0.158838	-0.168308	0.135899	0.528334	0.271940	0.706702	-0.062705	0.290284	-0.013964	-0.025443	0.102052	0.786522	0.037982	0.139380	0.205811	0.865758	-0.521807	-0.256954	0.070687	0.053612	0.156445	0.192182	-0.035869	-0.198760	-0.144895	-0.010231	0.053836	-0.282970	0.611569	-0.075858	-0.052645
X9	0.223915	0.157183	0.031803	-0.065366	0.034662	-0.209491	0.235197	-0.103644	1.000000	-0.107845	0.274376	0.039193	-0.122376	0.235197	-0.008647	0.031650	-0.113380	0.235197	-0.038157	-0.278954	-0.008810	0.225750	-0.027386	0.115125	-0.185868	0.031381	0.112540	0.107026	-0.515819	-0.229220	-0.028552	-0.238344	0.254417	0.593536	0.206882	0.743897	-0.055281	-0.192546	-0.055595	-0.059076	0.013631	-0.045953	-0.349060	-0.249867	0.068722	-0.040797	-0.250311	0.184009	0.049414	-0.044439	0.231188	-0.238695	0.112798	0.109459	-0.095786	-0.000588	0.216880	0.014196	-0.052896	0.163801	0.211457	-0.253308	0.242390	0.287262	0.015843
X10	0.350181	-0.977546	0.659289	0.537761	0.157317	0.331303	0.349654	0.611097	-0.107845	1.000000	0.323413	0.449569	0.400084	0.349654	-0.216054	0.490957	0.596195	0.349654	0.398788	-0.015248	-0.054449	0.302413	0.386647	0.406680	0.793440	0.479560	0.074384	0.097709	0.035350	-0.521804	0.372810	-0.401397	0.426690	0.347547	0.306721	-0.171495	0.115298	0.865442	0.354022	0.393919	-0.096660	0.355225	-0.056261	-0.069416	0.128263	0.497718	0.034293	0.244634	0.261326	0.557253	-0.832292	-0.399470	0.155870	0.123081	0.216391	0.280854	-0.061592	-0.286775	-0.266165	-0.009758	0.049084	-0.462685	0.467710	-0.135968	-0.111195
X11	0.959291	-0.295013	0.399835	0.234327	0.060929	0.294376	0.983275	0.176040	0.274376	0.323413	1.000000	0.602585	0.600070	0.983275	-0.123249	0.543390	0.163877	0.983275	0.745805	-0.208071	0.069774	0.918444	0.735235	0.806086	0.318261	0.525820	0.154741	0.178343	-0.216150	-0.333093	0.713109	-0.246064	0.242320	0.349890	0.877228	0.242599	0.029619	0.260594	0.637573	0.178211	-0.059290	0.702500	-0.200753	-0.096984	0.347360	0.255475	-0.126407	0.805414	0.670818	0.255974	-0.223882	-0.242277	0.197796	0.189825	0.062197	0.450792	0.567610	-0.465632	-0.109538	0.086187	0.064709	-0.320307	0.319185	0.089120	-0.089304
X12	0.616582	-0.438299	0.399590	0.675040	0.111715	0.275219	0.617829	0.661578	0.039193	0.449569	0.602585	1.000000	0.554295	0.617829	-0.113281	0.920765	0.645144	0.617829	0.633689	-0.109868	0.024307	0.561839	0.629853	0.559097	0.403277	0.911196	0.138654	0.091236	-0.063391	-0.315392	0.600949	-0.247690	0.543579	0.434184	0.539652	-0.003604	0.075008	0.420455	0.536693	0.558518	-0.060045	0.587187	-0.122225	-0.075536	0.265171	0.679847	-0.040519	0.491444	0.517160	0.652569	-0.405030	-0.245809	0.111066	0.101949	0.094805	0.382130	0.244566	-0.397283	-0.085829	0.035646	0.079622	-0.290260	0.658363	-0.021092	-0.068831
X13	0.617992	-0.391524	0.308078	0.313337	0.065809	0.307999	0.621508	0.335043	-0.122376	0.400084	0.600070	0.554295	1.000000	0.621508	-0.115823	0.559578	0.331605	0.621508	0.885595	-0.024498	0.049407	0.530547	0.871606	0.551415	0.380577	0.550584	0.064838	0.066566	0.091137	-0.165038	0.861606	-0.001836	0.049096	0.075337	0.507084	-0.239355	0.048505	0.414850	0.715844	0.285271	-0.079781	0.781828	0.030308	0.069476	0.267618	0.325951	0.142321	0.313561	0.461774	0.300168	-0.407037	0.001867	0.082954	0.076426	0.152167	0.638473	0.306944	-0.668951	-0.042025	-0.012819	-0.063389	-0.171752	0.145282	-0.080398	-0.125782
X14	0.976090	-0.327064	0.411518	0.244643	0.063378	0.332103	1.000000	0.192320	0.235197	0.349654	0.983275	0.617829	0.621508	1.000000	-0.126786	0.559773	0.181209	1.000000	0.767056	-0.205285	0.071634	0.923156	0.755449	0.826733	0.355367	0.541481	0.164710	0.176247	-0.180539	-0.341924	0.729135	-0.249607	0.249805	0.328383	0.883005	0.227158	0.038444	0.282291	0.649174	0.184037	-0.057781	0.714120	-0.197179	-0.094358	0.354796	0.264741	-0.123514	0.809305	0.678341	0.268651	-0.248736	-0.245955	0.196231	0.186947	0.076128	0.459719	0.573161	-0.481509	-0.115163	0.085578	0.061501	-0.324576	0.327930	0.075751	-0.092009
X15	-0.116480	0.212265	-0.133464	-0.107279	-0.062807	-0.084216	-0.126786	-0.120391	-0.008647	-0.216054	-0.123249	-0.113281	-0.115823	-0.126786	1.000000	-0.123337	-0.119374	-0.126786	-0.095417	0.055900	0.012822	-0.116077	-0.079930	-0.145622	-0.172726	-0.119071	-0.022756	-0.007066	0.021640	0.149799	-0.085350	0.147657	-0.101709	-0.083222	-0.112513	-0.013806	-0.025187	-0.176433	-0.074902	-0.078007	0.191069	-0.083577	0.068646	0.048118	-0.056073	-0.104611	0.030515	-0.067815	-0.041027	-0.114358	0.166841	0.147674	-0.024892	-0.014362	-0.036479	-0.058517	-0.037562	0.066755	0.096364	-0.014112	-0.021872	0.154951	-0.112586	0.041761	0.042441
X16	0.559659	-0.485793	0.404618	0.674738	0.111935	0.282371	0.559773	0.756557	0.031650	0.490957	0.543390	0.920765	0.559578	0.559773	-0.123337	1.000000	0.743292	0.559773	0.566261	-0.100926	0.010126	0.498178	0.563141	0.525718	0.432081	0.992908	0.132945	0.095492	-0.053544	-0.354501	0.542361	-0.232010	0.511696	0.446450	0.481009	-0.004095	0.102980	0.420724	0.473436	0.563587	-0.072403	0.518988	-0.117761	-0.077611	0.238053	0.677418	-0.011407	0.368607	0.392465	0.736878	-0.405096	-0.230204	0.121647	0.107824	0.107049	0.389877	0.196721	-0.402875	-0.121012	0.027328	0.081149	-0.291214	0.624968	-0.022179	-0.069423
X17	0.184568	-0.616422	0.399223	0.795869	0.131515	0.213150	0.181209	0.993450	-0.113380	0.596195	0.163877	0.645144	0.331605	0.181209	-0.119374	0.743292	1.000000	0.181209	0.318016	0.006529	-0.024480	0.151563	0.312776	0.237592	0.494136	0.740793	0.054567	0.037876	0.058685	-0.391695	0.294305	-0.256045	0.545034	0.352955	0.149440	-0.172477	0.137800	0.512300	0.265254	0.700153	-0.064238	0.283309	-0.012499	-0.025147	0.097978	0.776990	0.036066	0.131731	0.196079	0.857713	-0.521444	-0.254758	0.064916	0.047876	0.161604	0.174072	-0.039113	-0.180716	-0.144626	-0.010820	0.053046	-0.278256	0.601299	-0.077707	-0.052490
X18	0.976090	-0.327064	0.411518	0.244643	0.063378	0.332103	1.000000	0.192320	0.235197	0.349654	0.983275	0.617829	0.621508	1.000000	-0.126786	0.559773	0.181209	1.000000	0.767056	-0.205285	0.071634	0.923156	0.755449	0.826733	0.355367	0.541481	0.164710	0.176247	-0.180539	-0.341924	0.729135	-0.249607	0.249805	0.328383	0.883005	0.227158	0.038444	0.282291	0.649174	0.184037	-0.057781	0.714120	-0.197179	-0.094358	0.354796	0.264741	-0.123514	0.809305	0.678341	0.268651	-0.248736	-0.245955	0.196231	0.186947	0.076128	0.459719	0.573161	-0.481509	-0.115163	0.085578	0.061501	-0.324576	0.327930	0.075751	-0.092009
X19	0.755596	-0.385816	0.384410	0.339492	0.082960	0.366839	0.767056	0.326016	-0.038157	0.398788	0.745805	0.633689	0.885595	0.767056	-0.095417	0.566261	0.318016	0.767056	1.000000	-0.077883	0.067343	0.686770	0.980864	0.670760	0.401123	0.547906	0.092600	0.106727	0.027918	-0.282281	0.950263	-0.141206	0.109821	0.149783	0.652751	-0.117440	0.065347	0.378363	0.821642	0.301983	-0.050913	0.901566	-0.027878	0.034577	0.309577	0.356078	0.022907	0.612538	0.783073	0.339502	-0.359998	-0.137653	0.121439	0.114343	0.162234	0.562820	0.405019	-0.598295	-0.064212	0.009968	-0.039203	-0.256687	0.197757	-0.031399	-0.117021
X20	-0.196453	0.013160	0.111366	0.075643	-0.078173	-0.055441	-0.205285	0.004591	-0.278954	-0.015248	-0.208071	-0.109868	-0.024498	-0.205285	0.055900	-0.100926	0.006529	-0.205285	-0.077883	1.000000	-0.025468	-0.200670	-0.080853	-0.170488	-0.004475	-0.097587	-0.052196	0.054765	0.182720	0.305967	-0.069128	0.337081	-0.222890	-0.194288	-0.183447	-0.389654	-0.007996	0.005528	-0.053083	-0.052415	0.019082	-0.071136	0.751552	0.146279	-0.210922	-0.097194	0.907295	-0.153963	-0.106635	0.050030	-0.007126	0.335302	0.031735	0.041289	0.045846	0.000814	-0.125440	0.002334	0.031518	-0.249536	-0.084251	0.361025	-0.214630	-0.046496	0.003403
X21	0.070247	0.056913	-0.046914	-0.041590	-0.016661	-0.007357	0.071634	-0.022667	-0.008810	-0.054449	0.069774	0.024307	0.049407	0.071634	0.012822	0.010126	-0.024480	0.071634	0.067343	-0.025468	1.000000	0.065774	0.067234	-0.007723	-0.058334	0.010373	0.002161	-0.003660	0.075345	0.031663	0.062770	0.041482	-0.037765	-0.021201	0.068487	0.002916	-0.009133	-0.046741	0.055030	-0.024006	0.020117	0.053705	-0.020117	-0.005189	0.014409	-0.033300	-0.015657	0.069623	0.057024	-0.040974	0.054653	0.040120	-0.004362	-0.002790	-0.027463	0.054707	0.060691	-0.055423	0.027810	-0.017920	-0.001706	0.036279	-0.028446	0.009070	-0.006425
X22	0.884984	-0.283673	0.362622	0.208034	0.052768	0.340601	0.923156	0.161131	0.225750	0.302413	0.918444	0.561839	0.530547	0.923156	-0.116077	0.498178	0.151563	0.923156	0.686770	-0.200670	0.065774	1.000000	0.667168	0.768550	0.314802	0.474632	0.150058	0.153705	-0.174654	-0.312591	0.564619	-0.261471	0.251570	0.309669	0.944891	0.234589	0.029359	0.248272	0.694289	0.151258	-0.126708	0.774584	-0.200091	-0.103251	0.338715	0.227728	-0.158746	0.900852	0.749321	0.230495	-0.216469	-0.258079	0.172568	0.165285	0.058675	0.329227	0.524513	-0.344372	-0.099114	0.089965	0.066069	-0.306070	0.305744	0.072390	-0.068114
X23	0.773794	-0.372246	0.366879	0.332090	0.078008	0.354888	0.755449	0.321215	-0.027386	0.386647	0.735235	0.629853	0.871606	0.755449	-0.079930	0.563141	0.312776	0.755449	0.980864	-0.080853	0.067234	0.667168	1.000000	0.654900	0.383372	0.561163	0.091747	0.100499	0.018686	-0.271254	0.941937	-0.127919	0.115579	0.157818	0.635383	-0.106334	0.057331	0.367294	0.802609	0.288260	-0.038565	0.878342	-0.034832	0.027061	0.313088	0.346987	0.022910	0.590771	0.759804	0.329802	-0.347952	-0.124907	0.115281	0.108580	0.150745	0.569577	0.416695	-0.600840	-0.056669	0.009165	-0.033817	-0.251735	0.204391	-0.031530	-0.120275
X24	0.807262	-0.397627	0.434185	0.275641	0.073018	0.594163	0.826733	0.243162	0.115125	0.406680	0.806086	0.559097	0.551415	0.826733	-0.145622	0.525718	0.237592	0.826733	0.670760	-0.170488	-0.007723	0.768550	0.654900	1.000000	0.433362	0.505841	0.119497	0.151287	-0.039801	-0.361163	0.626322	-0.264782	0.260083	0.228948	0.745311	0.151089	0.090075	0.335433	0.588598	0.205275	-0.081783	0.631870	-0.165012	-0.080247	0.267314	0.286306	-0.094854	0.671122	0.591734	0.306758	-0.311947	-0.260136	0.173156	0.162951	0.150039	0.404237	0.441109	-0.421337	-0.124940	0.064269	0.042663	-0.335792	0.326833	0.044141	-0.114807
X25	0.349395	-0.802015	0.565674	0.438488	0.103733	0.505015	0.355367	0.497837	-0.185868	0.793440	0.318261	0.403277	0.380577	0.355367	-0.172726	0.432081	0.494136	0.355367	0.401123	-0.004475	-0.058334	0.314802	0.383372	0.433362	1.000000	0.417073	0.051262	0.092127	0.159125	-0.432740	0.357121	-0.325717	0.318598	0.107732	0.313814	-0.146260	0.129740	0.688123	0.356128	0.327053	-0.097451	0.369016	-0.027422	-0.036733	0.112026	0.406591	0.022075	0.275922	0.295235	0.474603	-0.670854	-0.322257	0.136504	0.111142	0.225941	0.210043	0.004023	-0.223896	-0.199402	-0.022032	0.011046	-0.363992	0.354126	-0.105185	-0.105612
X26	0.557168	-0.473757	0.387313	0.664267	0.108680	0.272053	0.541481	0.754086	0.031381	0.479560	0.525820	0.911196	0.550584	0.541481	-0.119071	0.992908	0.740793	0.541481	0.547906	-0.097587	0.010373	0.474632	0.561163	0.505841	0.417073	1.000000	0.125792	0.087869	-0.053986	-0.341631	0.530708	-0.222776	0.511676	0.442935	0.458670	-0.005260	0.096620	0.412289	0.453603	0.549342	-0.066628	0.497626	-0.114841	-0.076507	0.231171	0.665020	-0.005603	0.341044	0.366578	0.723145	-0.396484	-0.221051	0.113061	0.099676	0.099557	0.388810	0.196685	-0.400813	-0.116611	0.024741	0.082131	-0.283516	0.625228	-0.025258	-0.069693
X27	0.164943	-0.064370	0.091422	0.071798	0.037616	-0.016745	0.164710	0.059665	0.112540	0.074384	0.154741	0.138654	0.064838	0.164710	-0.022756	0.132945	0.054567	0.164710	0.092600	-0.052196	0.002161	0.150058	0.091747	0.119497	0.051262	0.125792	1.000000	0.081414	-0.086710	-0.066484	0.079950	-0.054952	0.113733	0.206268	0.143477	0.079232	0.045398	0.058155	0.077067	0.048259	-0.006770	0.088307	-0.042392	-0.012380	0.105198	0.079440	-0.045534	0.136645	0.094072	0.077244	-0.047456	-0.054863	0.084091	0.082124	-0.010246	0.046597	0.084385	-0.051596	-0.006653	0.034189	0.011090	-0.061889	0.122243	0.061319	0.002595
X28	0.166866	-0.088306	0.385811	0.150793	0.031836	0.031424	0.176247	0.041513	0.107026	0.097709	0.178343	0.091236	0.066566	0.176247	-0.007066	0.095492	0.037876	0.176247	0.106727	0.054765	-0.003660	0.153705	0.100499	0.151287	0.092127	0.087869	0.081414	1.000000	-0.153213	-0.139204	0.100607	-0.049017	0.061205	0.130005	0.155606	0.086798	0.043788	0.033159	0.086616	0.115285	0.010423	0.088526	0.080111	0.066423	0.037979	0.141884	0.094310	0.142323	0.105325	0.169494	-0.034540	-0.048360	0.959893	0.967740	0.034820	0.102415	0.091248	-0.104264	-0.064103	0.009556	-0.042419	-0.082610	0.074455	0.670346	-0.017676
X29	-0.178012	-0.088727	-0.113996	-0.021253	-0.033268	0.230785	-0.180539	0.046427	-0.515819	0.035350	-0.216150	-0.063391	0.091137	-0.180539	0.021640	-0.053544	0.058685	-0.180539	0.027918	0.182720	0.075345	-0.174654	0.018686	-0.039801	0.159125	-0.053986	-0.086710	-0.153213	1.000000	0.218498	0.003304	0.210297	-0.196290	-0.430367	-0.127722	-0.416834	0.127350	0.100603	0.087655	-0.003867	-0.001484	0.028585	0.247094	0.191339	-0.097221	-0.026465	0.173370	-0.136848	-0.041897	-0.029900	-0.137430	0.221806	-0.156196	-0.155123	0.363636	0.027024	-0.151719	-0.025541	0.063788	-0.131868	-0.157079	0.216174	-0.189614	-0.195338	-0.031700
X30	-0.327192	0.526264	-0.514414	-0.399387	-0.199128	-0.227336	-0.341924	-0.390724	-0.229220	-0.521804	-0.333093	-0.315392	-0.165038	-0.341924	0.149799	-0.354501	-0.391695	-0.341924	-0.282281	0.305967	0.031663	-0.312591	-0.271254	-0.361163	-0.432740	-0.341631	-0.066484	-0.139204	0.218498	1.000000	-0.244430	0.734524	-0.382823	-0.324341	-0.303328	-0.319899	-0.119474	-0.309730	-0.228328	-0.364015	0.109142	-0.247740	0.456243	0.384104	-0.133597	-0.400289	0.244450	-0.256840	-0.301008	-0.454747	0.302272	0.731194	-0.166467	-0.144489	-0.175192	-0.148778	-0.101358	0.167133	0.275802	-0.071735	-0.154126	0.786088	-0.399682	-0.078911	0.058055
X31	0.729664	-0.353630	0.359285	0.323147	0.075267	0.293786	0.729135	0.304057	-0.028552	0.372810	0.713109	0.600949	0.861606	0.729135	-0.085350	0.542361	0.294305	0.729135	0.950263	-0.069128	0.062770	0.564619	0.941937	0.626322	0.357121	0.530708	0.079950	0.100607	0.003304	-0.244430	1.000000	-0.086405	0.078173	0.148512	0.541412	-0.123438	0.054507	0.356140	0.698510	0.285852	0.006164	0.762662	-0.014977	0.045336	0.281836	0.336883	0.063909	0.485524	0.643121	0.319312	-0.337240	-0.083476	0.114224	0.108037	0.142644	0.629768	0.394275	-0.655749	-0.057892	0.003181	-0.040431	-0.227733	0.179070	-0.034312	-0.109572
X32	-0.235105	0.399163	-0.430108	-0.293922	-0.199898	-0.184650	-0.249607	-0.258168	-0.238344	-0.401397	-0.246064	-0.247690	-0.001836	-0.249607	0.147657	-0.232010	-0.256045	-0.249607	-0.141206	0.337081	0.041482	-0.261471	-0.127919	-0.264782	-0.325717	-0.222776	-0.054952	-0.049017	0.210297	0.734524	-0.086405	1.000000	-0.438772	-0.307690	-0.232558	-0.349571	-0.030041	-0.399413	-0.102673	-0.189118	0.086163	-0.153092	0.538384	0.476767	-0.087413	-0.268970	0.381393	-0.266288	-0.258034	-0.270990	0.406031	0.987457	-0.055002	-0.051243	-0.139176	0.122406	-0.065121	-0.091053	0.059178	-0.076398	-0.181448	0.912674	-0.426607	-0.029464	0.046588
X33	0.250266	-0.426532	0.362551	0.577573	0.115428	0.170920	0.249805	0.551704	0.254417	0.426690	0.242320	0.543579	0.049096	0.249805	-0.101709	0.511696	0.545034	0.249805	0.109821	-0.222890	-0.037765	0.251570	0.115579	0.260083	0.318598	0.511676	0.113733	0.061205	-0.196290	-0.382823	0.078173	-0.438772	1.000000	0.614755	0.230263	0.338428	0.024640	0.410218	0.087494	0.412527	-0.071175	0.113080	-0.330689	-0.277302	0.116108	0.559419	-0.216676	0.215985	0.147058	0.490566	-0.417774	-0.437244	0.074638	0.068082	0.045425	-0.016812	0.046273	0.014715	-0.072479	0.127452	0.293917	-0.440942	0.981398	0.032090	-0.038506
X34	0.329468	-0.293407	0.322609	0.399303	0.110231	-0.119642	0.328383	0.379244	0.593536	0.347547	0.349890	0.434184	0.075337	0.328383	-0.083222	0.446450	0.352955	0.328383	0.149783	-0.194288	-0.021201	0.309669	0.157818	0.228948	0.107732	0.442935	0.206268	0.130005	-0.430367	-0.324341	0.148512	-0.307690	0.614755	1.000000	0.286051	0.372185	-0.009921	0.258252	0.110991	0.297167	-0.033404	0.135970	-0.254218	-0.190677	0.134621	0.396162	-0.167471	0.269577	0.175855	0.411330	-0.212767	-0.307595	0.161575	0.149008	-0.056731	0.094077	0.115626	-0.089806	-0.116652	0.116552	0.198112	-0.323455	0.629337	0.111210	-0.020163
X35	0.848413	-0.288284	0.365654	0.205337	0.045543	0.335225	0.883005	0.158838	0.206882	0.306721	0.877228	0.539652	0.507084	0.883005	-0.112513	0.481009	0.149440	0.883005	0.652751	-0.183447	0.068487	0.944891	0.635383	0.745311	0.313814	0.458670	0.143477	0.155606	-0.127722	-0.303328	0.541412	-0.232558	0.230263	0.286051	1.000000	0.216318	0.031865	0.253086	0.774240	0.146631	-0.112863	0.725557	-0.182109	-0.093175	0.326236	0.222317	-0.122248	0.848347	0.700412	0.226242	-0.219181	-0.231623	0.173807	0.166145	0.058122	0.413848	0.494947	-0.391366	-0.094287	0.086829	0.052478	-0.298154	0.294276	0.069722	-0.076621
X36	0.210854	0.187928	-0.005597	-0.126069	0.023393	-0.010392	0.227158	-0.168308	0.743897	-0.171495	0.242599	-0.003604	-0.239355	0.227158	-0.013806	-0.004095	-0.172477	0.227158	-0.117440	-0.389654	0.002916	0.234589	-0.106334	0.151089	-0.146260	-0.005260	0.079232	0.086798	-0.416834	-0.319899	-0.123438	-0.349571	0.338428	0.372185	0.216318	1.000000	-0.027861	-0.284521	-0.124888	-0.113455	-0.013594	-0.116832	-0.498695	-0.365690	0.052582	-0.096048	-0.367937	0.196071	0.035289	-0.082215	0.311728	-0.348918	0.089310	0.085878	-0.091692	-0.121436	0.236659	0.129237	-0.079671	0.199717	0.340902	-0.350825	0.302891	0.329426	0.031900
X37	0.032549	-0.128233	0.129787	0.122697	0.030682	0.097040	0.038444	0.135899	-0.055281	0.115298	0.029619	0.075008	0.048505	0.038444	-0.025187	0.102980	0.137800	0.038444	0.065347	-0.007996	-0.009133	0.029359	0.057331	0.090075	0.129740	0.096620	0.045398	0.043788	0.127350	-0.119474	0.054507	-0.030041	0.024640	-0.009921	0.031865	-0.027861	1.000000	0.024257	0.050777	0.105644	-0.022060	0.052423	0.044601	0.074726	0.002925	0.126519	-0.000922	0.036935	0.055275	0.169818	-0.032489	-0.029861	0.050576	0.040354	0.126607	0.034471	0.001198	-0.038575	-0.092954	-0.009553	-0.057069	-0.031043	0.035174	0.020111	-0.016290
X38	0.287636	-0.837651	0.603028	0.507685	0.153382	0.296509	0.282291	0.528334	-0.192546	0.865442	0.260594	0.420455	0.414850	0.282291	-0.176433	0.420724	0.512300	0.282291	0.378363	0.005528	-0.046741	0.248272	0.367294	0.335433	0.688123	0.412289	0.058155	0.033159	0.100603	-0.309730	0.356140	-0.399413	0.410218	0.258252	0.253086	-0.284521	0.024257	1.000000	0.350215	0.356022	-0.059426	0.352281	-0.044666	-0.072403	0.112364	0.459838	0.051596	0.193345	0.225425	0.444226	-0.955721	-0.395505	0.068954	0.065756	0.218308	0.275853	-0.084405	-0.277015	0.006304	-0.022221	0.041259	-0.460044	0.447696	-0.218204	-0.114210
X39	0.631880	-0.345021	0.332842	0.281312	0.064726	0.362391	0.649174	0.271940	-0.055595	0.354022	0.637573	0.536693	0.715844	0.649174	-0.074902	0.473436	0.265254	0.649174	0.821642	-0.053083	0.055030	0.694289	0.802609	0.588598	0.356128	0.453603	0.077067	0.086616	0.087655	-0.228328	0.698510	-0.102673	0.087494	0.110991	0.774240	-0.124888	0.050777	0.350215	1.000000	0.240088	-0.092725	0.898739	-0.007712	0.040494	0.272825	0.292557	0.032904	0.633172	0.790878	0.277090	-0.328982	-0.104573	0.100577	0.094850	0.129552	0.550423	0.322696	-0.519883	-0.043291	0.015838	-0.043819	-0.219287	0.164618	-0.037438	-0.110502
X40	0.178105	-0.398118	0.415973	0.840888	0.139641	0.127272	0.184037	0.706702	-0.059076	0.393919	0.178211	0.558518	0.285271	0.184037	-0.078007	0.563587	0.700153	0.184037	0.301983	-0.052415	-0.024006	0.151258	0.288260	0.205275	0.327053	0.549342	0.048259	0.115285	-0.003867	-0.364015	0.285852	-0.189118	0.412527	0.297167	0.146631	-0.113455	0.105644	0.356022	0.240088	1.000000	-0.034368	0.261237	-0.082599	-0.072460	0.103109	0.894416	-0.009278	0.141881	0.209307	0.807240	-0.365749	-0.188150	0.124372	0.115832	0.144978	0.181531	0.008704	-0.190607	-0.075387	0.018058	0.073445	-0.209859	0.470617	-0.018106	-0.031819
X41	-0.041902	0.106264	-0.067178	-0.057032	-0.016404	-0.072327	-0.057781	-0.062705	0.013631	-0.096660	-0.059290	-0.060045	-0.079781	-0.057781	0.191069	-0.072403	-0.064238	-0.057781	-0.050913	0.019082	0.020117	-0.126708	-0.038565	-0.081783	-0.097451	-0.066628	-0.006770	0.010423	-0.001484	0.109142	0.006164	0.086163	-0.071175	-0.033404	-0.112863	-0.013594	-0.022060	-0.059426	-0.092725	-0.034368	1.000000	-0.110083	0.020856	0.012562	-0.029903	-0.054440	0.032904	-0.073275	-0.059915	-0.065160	0.059960	0.088069	-0.006640	-0.001490	-0.015730	0.058469	-0.005493	-0.052102	0.101975	-0.009817	-0.013140	0.076190	-0.063716	0.027448	-0.034672
X42	0.693523	-0.346680	0.340443	0.300278	0.072266	0.381898	0.714120	0.290284	-0.045953	0.355225	0.702500	0.587187	0.781828	0.714120	-0.083577	0.518988	0.283309	0.714120	0.901566	-0.071136	0.053705	0.774584	0.878342	0.631870	0.369016	0.497626	0.088307	0.088526	0.028585	-0.247740	0.762662	-0.153092	0.113080	0.135970	0.725557	-0.116832	0.052423	0.352281	0.898739	0.261237	-0.110083	1.000000	-0.030672	0.023770	0.294732	0.314647	-0.011839	0.706938	0.883226	0.300565	-0.334756	-0.150218	0.102880	0.097392	0.139060	0.449029	0.368123	-0.473041	-0.049065	0.015430	-0.036616	-0.236985	0.180693	-0.036894	-0.093740
X43	-0.188881	0.055729	0.123433	0.056932	-0.043941	-0.070826	-0.197179	-0.013964	-0.349060	-0.056261	-0.200753	-0.122225	0.030308	-0.197179	0.068646	-0.117761	-0.012499	-0.197179	-0.027878	0.751552	-0.020117	-0.200091	-0.034832	-0.165012	-0.027422	-0.114841	-0.042392	0.080111	0.247094	0.456243	-0.014977	0.538384	-0.330689	-0.254218	-0.182109	-0.498695	0.044601	-0.044666	-0.007712	-0.082599	0.020856	-0.030672	1.000000	0.762515	-0.140248	-0.018323	0.691110	-0.135975	-0.082138	0.044673	0.049333	0.533902	0.054042	0.065959	0.074756	0.037701	-0.109322	-0.036782	0.024268	-0.178713	-0.349302	0.554975	-0.315698	-0.034253	-0.003813
X44	-0.090576	0.070665	0.075878	0.011188	0.010773	-0.051836	-0.094358	-0.025443	-0.249867	-0.069416	-0.096984	-0.075536	0.069476	-0.094358	0.048118	-0.077611	-0.025147	-0.094358	0.034577	0.146279	-0.005189	-0.103251	0.027061	-0.080247	-0.036733	-0.076507	-0.012380	0.066423	0.191339	0.384104	0.045336	0.476767	-0.277302	-0.190677	-0.093175	-0.365690	0.074726	-0.072403	0.040494	-0.072460	0.012562	0.023770	0.762515	1.000000	-0.003454	0.067845	0.146560	-0.052909	-0.018593	0.017925	0.080970	0.471791	0.049916	0.058416	0.067140	0.055737	-0.040914	-0.057447	0.005480	-0.023266	-0.441184	0.478165	-0.262922	-0.005766	-0.009055
X45	0.360163	-0.116784	0.083154	0.071686	0.043574	0.077565	0.354796	0.102052	0.068722	0.128263	0.347360	0.265171	0.267618	0.354796	-0.056073	0.238053	0.097978	0.354796	0.309577	-0.210922	0.014409	0.338715	0.313088	0.267314	0.112026	0.231171	0.105198	0.037979	-0.097221	-0.133597	0.281836	-0.087413	0.116108	0.134621	0.326236	0.052582	0.002925	0.112364	0.272825	0.103109	-0.029903	0.294732	-0.140248	-0.003454	1.000000	0.141575	-0.184979	0.294921	0.262612	0.072535	-0.103162	-0.086553	0.046443	0.041850	0.003823	0.169934	0.218203	-0.184870	-0.031956	0.554013	0.026723	-0.114355	0.145171	-0.001117	-0.012002
X46	0.261183	-0.498082	0.548430	0.949981	0.175695	0.159318	0.264741	0.786522	-0.040797	0.497718	0.255475	0.679847	0.325951	0.264741	-0.104611	0.677418	0.776990	0.264741	0.356078	-0.097194	-0.033300	0.227728	0.346987	0.286306	0.406591	0.665020	0.079440	0.141884	-0.026465	-0.400289	0.336883	-0.268970	0.559419	0.396162	0.222317	-0.096048	0.126519	0.459838	0.292557	0.894416	-0.054440	0.314647	-0.018323	0.067845	0.141575	1.000000	-0.043478	0.207174	0.263004	0.888218	-0.465439	-0.267461	0.150054	0.142487	0.168443	0.226639	0.030366	-0.235152	-0.092030	0.037614	-0.038721	-0.299450	0.625419	-0.014125	-0.059700
X47	-0.111603	-0.028754	0.157311	0.119706	-0.064204	-0.038899	-0.123514	0.037982	-0.250311	0.034293	-0.126407	-0.040519	0.142321	-0.123514	0.030515	-0.011407	0.036066	-0.123514	0.022907	0.907295	-0.015657	-0.158746	0.022910	-0.094854	0.022075	-0.005603	-0.045534	0.094310	0.173370	0.244450	0.063909	0.381393	-0.216676	-0.167471	-0.122248	-0.367937	-0.000922	0.051596	0.032904	-0.009278	0.032904	-0.011839	0.691110	0.146560	-0.184979	-0.043478	1.000000	-0.202016	-0.133074	0.086641	-0.049213	0.395671	0.074705	0.083827	0.057529	0.288556	-0.084491	-0.275384	0.021595	-0.230434	-0.088548	0.284068	-0.172719	-0.032287	-0.016371
X48	0.773930	-0.230574	0.328042	0.188365	0.042200	0.311288	0.809305	0.139380	0.184009	0.244634	0.805414	0.491444	0.313561	0.809305	-0.067815	0.368607	0.131731	0.809305	0.612538	-0.153963	0.069623	0.900852	0.590771	0.671122	0.275922	0.341044	0.136645	0.142323	-0.136848	-0.256840	0.485524	-0.266288	0.215985	0.269577	0.848347	0.196071	0.036935	0.193345	0.633172	0.141881	-0.073275	0.706938	-0.135975	-0.052909	0.294921	0.207174	-0.202016	1.000000	0.844284	0.210779	-0.163302	-0.264126	0.154934	0.150065	0.059549	0.139318	0.465486	-0.155648	-0.078807	0.077729	0.038406	-0.235732	0.245917	0.083556	-0.041706
X49	0.653678	-0.251006	0.328443	0.248445	0.070558	0.348770	0.678341	0.205811	0.049414	0.261326	0.670818	0.517160	0.461774	0.678341	-0.041027	0.392465	0.196079	0.678341	0.783073	-0.106635	0.057024	0.749321	0.759804	0.591734	0.295235	0.366578	0.094072	0.105325	-0.041897	-0.301008	0.643121	-0.258034	0.147058	0.175855	0.700412	0.035289	0.055275	0.225425	0.790878	0.209307	-0.059915	0.883226	-0.082138	-0.018593	0.262612	0.263004	-0.133074	0.844284	1.000000	0.261978	-0.201785	-0.256096	0.114369	0.109841	0.112322	0.247070	0.371794	-0.271116	-0.057620	0.035388	-0.002612	-0.261893	0.187458	0.021247	-0.059196
X50	0.264459	-0.563739	0.588437	0.915740	0.150708	0.206821	0.268651	0.865758	-0.044439	0.557253	0.255974	0.652569	0.300168	0.268651	-0.114358	0.736878	0.857713	0.268651	0.339502	0.050030	-0.040974	0.230495	0.329802	0.306758	0.474603	0.723145	0.077244	0.169494	-0.029900	-0.454747	0.319312	-0.270990	0.490566	0.411330	0.226242	-0.082215	0.169818	0.444226	0.277090	0.807240	-0.065160	0.300565	0.044673	0.017925	0.072535	0.888218	0.086641	0.210779	0.261978	1.000000	-0.437595	-0.269809	0.190824	0.174640	0.176115	0.211421	0.018764	-0.219596	-0.160878	-0.026518	-0.015923	-0.298191	0.558734	0.004034	-0.049884
X51	-0.252562	0.846655	-0.613648	-0.515024	-0.153698	-0.297378	-0.248736	-0.521807	0.231188	-0.832292	-0.223882	-0.405030	-0.407037	-0.248736	0.166841	-0.405096	-0.521444	-0.248736	-0.359998	-0.007126	0.054653	-0.216469	-0.347952	-0.311947	-0.670854	-0.396484	-0.047456	-0.034540	-0.137430	0.302272	-0.337240	0.406031	-0.417774	-0.212767	-0.219181	0.311728	-0.032489	-0.955721	-0.328982	-0.365749	0.059960	-0.334756	0.049333	0.080970	-0.103162	-0.465439	-0.049213	-0.163302	-0.201785	-0.437595	1.000000	0.401924	-0.046429	-0.041578	-0.244665	-0.253667	0.101459	0.257717	0.002437	0.018324	-0.047326	0.465732	-0.451278	0.235169	0.102256
X52	-0.231766	0.396672	-0.427586	-0.292438	-0.194931	-0.182731	-0.245955	-0.256954	-0.238695	-0.399470	-0.242277	-0.245809	0.001867	-0.245955	0.147674	-0.230204	-0.254758	-0.245955	-0.137653	0.335302	0.040120	-0.258079	-0.124907	-0.260136	-0.322257	-0.221051	-0.054863	-0.048360	0.221806	0.731194	-0.083476	0.987457	-0.437244	-0.307595	-0.231623	-0.348918	-0.029861	-0.395505	-0.104573	-0.188150	0.088069	-0.150218	0.533902	0.471791	-0.086553	-0.267461	0.395671	-0.264126	-0.256096	-0.269809	0.401924	1.000000	-0.054454	-0.050593	-0.138383	0.126000	-0.061757	-0.094274	0.060490	-0.076159	-0.180070	0.907343	-0.424185	-0.029245	0.034863
X53	0.187311	-0.140267	0.368574	0.153923	0.032110	0.042997	0.196231	0.070687	0.112798	0.155870	0.197796	0.111066	0.082954	0.196231	-0.024892	0.121647	0.064916	0.196231	0.121439	0.031735	-0.004362	0.172568	0.115281	0.173156	0.136504	0.113061	0.084091	0.959893	-0.156196	-0.166467	0.114224	-0.055002	0.074638	0.161575	0.173807	0.089310	0.050576	0.068954	0.100577	0.124372	-0.006640	0.102880	0.054042	0.049916	0.046443	0.150054	0.074705	0.154934	0.114369	0.190824	-0.046429	-0.054454	1.000000	0.992230	0.026990	0.113103	0.085274	-0.114823	-0.093332	0.011946	-0.027318	-0.090521	0.090038	0.653894	-0.023495
X54	0.178512	-0.106812	0.368401	0.148534	0.031498	0.034524	0.186947	0.053612	0.109459	0.123081	0.189825	0.101949	0.076426	0.186947	-0.014362	0.107824	0.047876	0.186947	0.114343	0.041289	-0.002790	0.165285	0.108580	0.162951	0.111142	0.099676	0.082124	0.967740	-0.155123	-0.144489	0.108037	-0.051243	0.068082	0.149008	0.166145	0.085878	0.040354	0.065756	0.094850	0.115832	-0.001490	0.097392	0.065959	0.058416	0.041850	0.142487	0.083827	0.150065	0.109841	0.174640	-0.041578	-0.050593	0.992230	1.000000	0.027709	0.109230	0.086304	-0.110580	-0.059768	0.008501	-0.032432	-0.086273	0.082536	0.660185	-0.022031
X55	0.069565	-0.244115	0.282004	0.175679	0.066206	0.206198	0.076128	0.156445	-0.095786	0.216391	0.062197	0.094805	0.152167	0.076128	-0.036479	0.107049	0.161604	0.076128	0.162234	0.045846	-0.027463	0.058675	0.150745	0.150039	0.225941	0.099557	-0.010246	0.034820	0.363636	-0.175192	0.142644	-0.139176	0.045425	-0.056731	0.058122	-0.091692	0.126607	0.218308	0.129552	0.144978	-0.015730	0.139060	0.074756	0.067140	0.003823	0.168443	0.057529	0.059549	0.112322	0.176115	-0.244665	-0.138383	0.026990	0.027709	1.000000	0.095110	-0.011661	-0.096736	-0.024452	-0.027152	-0.046616	-0.168877	0.056900	-0.025207	-0.035766
X56	0.470774	-0.246313	0.282841	0.232725	0.025560	0.140518	0.459719	0.192182	-0.000588	0.280854	0.450792	0.382130	0.638473	0.459719	-0.058517	0.389877	0.174072	0.459719	0.562820	0.000814	0.054707	0.329227	0.569577	0.404237	0.210043	0.388810	0.046597	0.102415	0.027024	-0.148778	0.629768	0.122406	-0.016812	0.094077	0.413848	-0.121436	0.034471	0.275853	0.550423	0.181531	0.058469	0.449029	0.037701	0.055737	0.169934	0.226639	0.288556	0.139318	0.247070	0.211421	-0.253667	0.126000	0.113103	0.109230	0.095110	1.000000	0.232199	-0.947435	-0.028985	-0.017836	-0.057930	-0.167500	0.116032	-0.024547	-0.068398
X57	0.579025	0.072203	0.077955	0.009439	-0.027971	0.136836	0.573161	-0.035869	0.216880	-0.061592	0.567610	0.244566	0.306944	0.573161	-0.037562	0.196721	-0.039113	0.573161	0.405019	-0.125440	0.060691	0.524513	0.416695	0.441109	0.004023	0.196685	0.084385	0.091248	-0.151719	-0.101358	0.394275	-0.065121	0.046273	0.115626	0.494947	0.236659	0.001198	-0.084405	0.322696	0.008704	-0.005493	0.368123	-0.109322	-0.040914	0.218203	0.030366	-0.084491	0.465486	0.371794	0.018764	0.101459	-0.061757	0.085274	0.086304	-0.011661	0.232199	1.000000	-0.248293	-0.022312	0.075865	0.028061	-0.102533	0.081558	0.119526	-0.047361
X58	-0.490181	0.253628	-0.289643	-0.239596	-0.030859	-0.152618	-0.481509	-0.198760	0.014196	-0.286775	-0.465632	-0.397283	-0.668951	-0.481509	0.066755	-0.402875	-0.180716	-0.481509	-0.598295	0.002334	-0.055423	-0.344372	-0.600840	-0.421337	-0.223896	-0.400813	-0.051596	-0.104264	-0.025541	0.167133	-0.655749	-0.091053	0.014715	-0.089806	-0.391366	0.129237	-0.038575	-0.277015	-0.519883	-0.190607	-0.052102	-0.473041	-0.036782	-0.057447	-0.184870	-0.235152	-0.275384	-0.155648	-0.271116	-0.219596	0.257717	-0.094274	-0.114823	-0.110580	-0.096736	-0.947435	-0.248293	1.000000	0.039976	0.018920	0.061406	0.171050	-0.115227	0.022072	0.055436
X59	-0.106375	0.273677	-0.130836	-0.091505	0.016095	-0.035212	-0.115163	-0.144895	-0.052896	-0.266165	-0.109538	-0.085829	-0.042025	-0.115163	0.096364	-0.121012	-0.144626	-0.115163	-0.064212	0.031518	0.027810	-0.099114	-0.056669	-0.124940	-0.199402	-0.116611	-0.006653	-0.064103	0.063788	0.275802	-0.057892	0.059178	-0.072479	-0.116652	-0.094287	-0.079671	-0.092954	0.006304	-0.043291	-0.075387	0.101975	-0.049065	0.024268	0.005480	-0.031956	-0.092030	0.021595	-0.078807	-0.057620	-0.160878	0.002437	0.060490	-0.093332	-0.059768	-0.024452	-0.028985	-0.022312	0.039976	1.000000	-0.017249	-0.017520	0.064477	-0.080505	-0.060205	0.002442
X60	0.072144	0.010713	-0.028735	-0.027024	0.027838	-0.000473	0.085578	-0.010231	0.163801	-0.009758	0.086187	0.035646	-0.012819	0.085578	-0.014112	0.027328	-0.010820	0.085578	0.009968	-0.249536	-0.017920	0.089965	0.009165	0.064269	-0.022032	0.024741	0.034189	0.009556	-0.131868	-0.071735	0.003181	-0.076398	0.127452	0.116552	0.086829	0.199717	-0.009553	-0.022221	0.015838	0.018058	-0.009817	0.015430	-0.178713	-0.023266	0.554013	0.037614	-0.230434	0.077729	0.035388	-0.026518	0.018324	-0.076159	0.011946	0.008501	-0.027152	-0.017836	0.075865	0.018920	-0.017249	1.000000	0.060457	-0.074546	0.118095	0.068702	0.006988
X61	0.063852	-0.049761	-0.103631	-0.015608	0.003623	0.020718	0.061501	0.053836	0.211457	0.049084	0.064709	0.079622	-0.063389	0.061501	-0.021872	0.081149	0.053046	0.061501	-0.039203	-0.084251	-0.001706	0.066069	-0.033817	0.042663	0.011046	0.082131	0.011090	-0.042419	-0.157079	-0.154126	-0.040431	-0.181448	0.293917	0.198112	0.052478	0.340902	-0.057069	0.041259	-0.043819	0.073445	-0.013140	-0.036616	-0.349302	-0.441184	0.026723	-0.038721	-0.088548	0.038406	-0.002612	-0.015923	-0.047326	-0.180070	-0.027318	-0.032432	-0.046616	-0.057930	0.028061	0.061406	-0.017520	0.060457	1.000000	-0.177156	0.275358	0.017660	0.019607
X62	-0.314217	0.453882	-0.499017	-0.326142	-0.195260	-0.209269	-0.324576	-0.282970	-0.253308	-0.462685	-0.320307	-0.290260	-0.171752	-0.324576	0.154951	-0.291214	-0.278256	-0.324576	-0.256687	0.361025	0.036279	-0.306070	-0.251735	-0.335792	-0.363992	-0.283516	-0.061889	-0.082610	0.216174	0.786088	-0.227733	0.912674	-0.440942	-0.323455	-0.298154	-0.350825	-0.031043	-0.460044	-0.219287	-0.209859	0.076190	-0.236985	0.554975	0.478165	-0.114355	-0.299450	0.284068	-0.235732	-0.261893	-0.298191	0.465732	0.907343	-0.090521	-0.086273	-0.168877	-0.167500	-0.102533	0.171050	0.064477	-0.074546	-0.177156	1.000000	-0.451054	-0.034114	0.064083
X63	0.330514	-0.463007	0.403922	0.645514	0.123166	0.187877	0.327930	0.611569	0.242390	0.467710	0.319185	0.658363	0.145282	0.327930	-0.112586	0.624968	0.601299	0.327930	0.197757	-0.214630	-0.028446	0.305744	0.204391	0.326833	0.354126	0.625228	0.122243	0.074455	-0.189614	-0.399682	0.179070	-0.426607	0.981398	0.629337	0.294276	0.302891	0.035174	0.447696	0.164618	0.470617	-0.063716	0.180693	-0.315698	-0.262922	0.145171	0.625419	-0.172719	0.245917	0.187458	0.558734	-0.451278	-0.424185	0.090038	0.082536	0.056900	0.116032	0.081558	-0.115227	-0.080505	0.118095	0.275358	-0.451054	1.000000	0.025346	-0.051065
X64	0.061557	0.148090	0.118616	-0.023223	-0.006152	-0.039559	0.075751	-0.075858	0.287262	-0.135968	0.089120	-0.021092	-0.080398	0.075751	0.041761	-0.022179	-0.077707	0.075751	-0.031399	-0.046496	0.009070	0.072390	-0.031530	0.044141	-0.105185	-0.025258	0.061319	0.670346	-0.195338	-0.078911	-0.034312	-0.029464	0.032090	0.111210	0.069722	0.329426	0.020111	-0.218204	-0.037438	-0.018106	0.027448	-0.036894	-0.034253	-0.005766	-0.001117	-0.014125	-0.032287	0.083556	0.021247	0.004034	0.235169	-0.029245	0.653894	0.660185	-0.025207	-0.024547	0.119526	0.022072	-0.060205	0.068702	0.017660	-0.034114	0.025346	1.000000	0.033164
Y	-0.096806	0.110387	-0.097930	-0.056923	-0.022760	-0.081797	-0.092009	-0.052645	0.015843	-0.111195	-0.089304	-0.068831	-0.125782	-0.092009	0.042441	-0.069423	-0.052490	-0.092009	-0.117021	0.003403	-0.006425	-0.068114	-0.120275	-0.114807	-0.105612	-0.069693	0.002595	-0.017676	-0.031700	0.058055	-0.109572	0.046588	-0.038506	-0.020163	-0.076621	0.031900	-0.016290	-0.114210	-0.110502	-0.031819	-0.034672	-0.093740	-0.003813	-0.009055	-0.012002	-0.059700	-0.016371	-0.041706	-0.059196	-0.049884	0.102256	0.034863	-0.023495	-0.022031	-0.035766	-0.068398	-0.047361	0.055436	0.002442	0.006988	0.019607	0.064083	-0.051065	0.033164	1.000000

--------------------------------------------------------------------------
For df2

	X1	X2	X3	X4	X5	X6	X7	X8	X9	X10	X11	X12	X13	X14	X15	X16	X17	X18	X19	X20	X21	X22	X23	X24	X25	X26	X27	X28	X29	X30	X31	X32	X33	X34	X35	X36	X37	X38	X39	X40	X41	X42	X43	X44	X45	X46	X47	X48	X49	X50	X51	X52	X53	X54	X55	X56	X57	X58	X59	X60	X61	X62	X63	X64	Y
X1	1.000000	-0.411359	0.433986	0.200891	0.034559	0.325926	0.986639	0.167705	0.185326	0.424049	0.953729	0.596293	0.672297	0.986639	0.003741	0.535040	0.163733	0.986639	0.775848	-0.166116	0.126060	0.876430	0.784918	0.787285	0.436367	0.532437	0.166045	0.168447	-0.065352	-0.311830	0.759347	-0.223234	0.222979	0.251163	0.818934	0.170876	0.067557	0.341939	0.616955	0.136904	-0.019913	0.677517	-0.139574	-0.047417	0.350532	0.213905	-0.083304	0.756402	0.617883	0.221475	-0.320006	-0.219269	0.189630	0.173884	0.088845	0.435000	0.353280	-0.483490	-0.055023	0.093349	0.025224	-0.325346	0.301502	0.084148	-0.069069
X2	-0.411359	1.000000	-0.684684	-0.473593	-0.095012	-0.360889	-0.409846	-0.540523	0.103478	-0.983932	-0.339588	-0.392245	-0.416377	-0.409846	0.076336	-0.428835	-0.544813	-0.409846	-0.431593	0.031391	0.032879	-0.286217	-0.429401	-0.407684	-0.767448	-0.416987	-0.103475	-0.112599	-0.023119	0.515484	-0.407343	0.381048	-0.433911	-0.355113	-0.281696	0.126667	-0.121053	-0.841042	-0.295129	-0.354403	0.076737	-0.303822	0.059635	0.055907	-0.155660	-0.446511	-0.015461	-0.243047	-0.238018	-0.506156	0.840906	0.377787	-0.159130	-0.125351	-0.218114	-0.222276	0.022821	0.274437	0.167093	-0.010320	-0.034381	0.487714	-0.463818	0.092525	0.087193
X3	0.433986	-0.684684	1.000000	0.556359	0.120979	0.244472	0.442423	0.372923	0.066904	0.690902	0.410296	0.358804	0.340343	0.442423	-0.042670	0.379912	0.370835	0.442423	0.400711	0.086176	-0.045951	0.341209	0.395532	0.403532	0.548478	0.366621	0.125219	0.345697	-0.170351	-0.479877	0.384679	-0.400153	0.412000	0.371794	0.338155	0.026828	0.105993	0.640356	0.283452	0.393828	-0.043955	0.292865	0.119385	0.090909	0.146708	0.515663	0.127425	0.305507	0.278593	0.547184	-0.644080	-0.395206	0.348739	0.342617	0.258463	0.250272	0.065403	-0.286991	-0.106926	0.005624	-0.081993	-0.510469	0.445796	0.132786	-0.086340
X4	0.200891	-0.473593	0.556359	1.000000	0.117344	0.098458	0.202718	0.740639	-0.060414	0.479806	0.183872	0.547830	0.262676	0.202718	-0.058895	0.575260	0.736712	0.202718	0.260552	0.086127	-0.084822	0.136194	0.252918	0.193995	0.331881	0.560377	0.107090	0.143508	-0.125693	-0.314071	0.257244	-0.245968	0.628272	0.497673	0.128303	-0.109101	0.094566	0.466171	0.162862	0.833868	-0.039825	0.189831	0.081166	0.037006	0.082481	0.934951	0.102330	0.124996	0.137404	0.880694	-0.463965	-0.244076	0.152028	0.145963	0.132158	0.145858	0.025678	-0.173743	-0.071209	0.002257	-0.004392	-0.294623	0.667574	-0.004492	-0.030725
X5	0.034559	-0.095012	0.120979	0.117344	1.000000	0.025597	0.034465	0.089263	0.029174	0.098268	0.030917	0.061408	0.054915	0.034465	-0.027047	0.055132	0.088506	0.034465	0.064270	-0.027454	-0.021108	0.018590	0.064919	0.040709	0.060916	0.052184	0.020870	0.027547	-0.040914	-0.107566	0.063250	-0.091417	0.075665	0.066536	0.013616	0.015149	0.012804	0.098344	0.030064	0.115386	-0.022939	0.041149	0.004207	0.030663	0.025849	0.129611	-0.019841	0.020984	0.039527	0.104870	-0.096546	-0.085069	0.028907	0.028045	0.039220	0.023667	-0.018842	-0.030546	0.003304	0.015535	-0.000927	-0.119662	0.079057	0.008778	-0.020537
X6	0.325926	-0.360889	0.244472	0.098458	0.025597	1.000000	0.325531	0.123261	-0.154914	0.334972	0.282702	0.192656	0.292723	0.325531	-0.004448	0.196499	0.130243	0.325531	0.332926	-0.044376	0.108872	0.300052	0.331992	0.490410	0.529872	0.192609	-0.020667	0.016304	0.269146	-0.187878	0.285330	-0.170421	0.101316	-0.071083	0.299620	-0.021889	0.103846	0.298124	0.316429	0.056704	-0.055246	0.317320	-0.059388	-0.043865	0.068096	0.090086	-0.022917	0.269100	0.283360	0.122782	-0.305172	-0.170262	0.029109	0.017654	0.186310	0.147578	0.078581	-0.165564	0.005976	-0.010261	-0.000416	-0.216723	0.119409	-0.045770	-0.064306
X7	0.986639	-0.409846	0.442423	0.202718	0.034465	0.325531	1.000000	0.166337	0.193914	0.422695	0.969961	0.603397	0.675258	1.000000	-0.002336	0.539674	0.162513	1.000000	0.783810	-0.175951	0.124484	0.903135	0.773193	0.794610	0.438729	0.525488	0.166575	0.176595	-0.076409	-0.319063	0.758212	-0.229398	0.226051	0.256319	0.844510	0.179329	0.071726	0.337912	0.634590	0.144774	-0.028519	0.696843	-0.147397	-0.049603	0.355941	0.219360	-0.095918	0.783074	0.638839	0.225426	-0.315154	-0.225283	0.197453	0.181724	0.092791	0.429326	0.352301	-0.477582	-0.063149	0.100846	0.026426	-0.328211	0.303828	0.090223	-0.068461
X8	0.167705	-0.540523	0.372923	0.740639	0.089263	0.123261	0.166337	1.000000	-0.098923	0.541828	0.139071	0.500191	0.252209	0.166337	-0.059540	0.620999	0.996058	0.166337	0.243708	0.006013	-0.085401	0.102082	0.236517	0.164578	0.372654	0.602347	0.116853	0.048366	-0.060449	-0.328477	0.235721	-0.201888	0.503276	0.490986	0.098226	-0.147782	0.109780	0.472540	0.142506	0.662747	-0.037450	0.162938	-0.003550	-0.010426	0.091217	0.725760	0.020398	0.096212	0.109454	0.834378	-0.458230	-0.200851	0.069524	0.055652	0.109181	0.124427	0.004321	-0.150837	-0.102770	0.019644	0.032587	-0.253880	0.542905	-0.051475	-0.031821
X9	0.185326	0.103478	0.066904	-0.060414	0.029174	-0.154914	0.193914	-0.098923	1.000000	-0.068247	0.230211	0.048185	-0.073587	0.193914	0.010881	0.041171	-0.105262	0.193914	0.016985	-0.291543	-0.050987	0.181247	0.026146	0.132152	-0.138955	0.039240	0.061342	0.103487	-0.463820	-0.235213	0.005783	-0.252127	0.316567	0.494586	0.166198	0.841171	-0.047075	-0.165460	-0.028875	-0.055565	-0.021923	-0.035255	-0.366556	-0.254857	0.077509	-0.039211	-0.252463	0.141969	0.064570	-0.027853	0.203235	-0.249975	0.112831	0.107408	-0.080879	-0.021549	0.117980	0.015789	-0.067810	0.182974	0.255742	-0.279118	0.299664	0.278272	0.007015
X10	0.424049	-0.983932	0.690902	0.479806	0.098268	0.334972	0.422695	0.541828	-0.068247	1.000000	0.359491	0.402623	0.420662	0.422695	-0.074230	0.436396	0.537014	0.422695	0.437083	-0.031063	-0.049788	0.295361	0.435353	0.413814	0.757566	0.424838	0.109945	0.120849	-0.025255	-0.511110	0.416636	-0.378412	0.438496	0.390229	0.289330	-0.115645	0.114424	0.861056	0.296295	0.358121	-0.070178	0.306321	-0.058512	-0.054618	0.161853	0.452207	0.020338	0.248633	0.240910	0.508481	-0.830838	-0.375426	0.170387	0.136936	0.198194	0.240077	-0.011267	-0.289825	-0.165695	0.014593	0.039214	-0.488517	0.471270	-0.083674	-0.088453
X11	0.953729	-0.339588	0.410296	0.183872	0.030917	0.282702	0.969961	0.139071	0.230211	0.359491	1.000000	0.587118	0.638561	0.969961	-0.010838	0.523703	0.134053	0.969961	0.745430	-0.175185	0.117879	0.913459	0.733017	0.771607	0.372094	0.509245	0.157182	0.179239	-0.110755	-0.288351	0.726575	-0.205197	0.210564	0.261868	0.854108	0.193137	0.057894	0.287901	0.637394	0.132692	-0.031378	0.698619	-0.147263	-0.050103	0.350193	0.202294	-0.094852	0.790908	0.641463	0.203763	-0.260414	-0.201567	0.197028	0.184450	0.073451	0.428095	0.357253	-0.441766	-0.059206	0.101668	0.032009	-0.299548	0.289008	0.107017	-0.072805
X12	0.596293	-0.392245	0.358804	0.547830	0.061408	0.192656	0.603397	0.500191	0.048185	0.402623	0.587118	1.000000	0.530031	0.603397	-0.037036	0.866135	0.493491	0.603397	0.588689	-0.080524	0.020486	0.531726	0.578281	0.497148	0.346041	0.851456	0.171340	0.100837	-0.050996	-0.281527	0.577959	-0.191443	0.465098	0.428698	0.494719	0.014167	0.074612	0.346062	0.471700	0.416491	-0.035942	0.521563	-0.085018	-0.047489	0.237528	0.530777	-0.020429	0.460739	0.454465	0.528408	-0.334079	-0.189401	0.115530	0.105207	0.080612	0.326960	0.181255	-0.360123	-0.058178	0.047720	0.053524	-0.244005	0.586723	0.006658	-0.059604
X13	0.672297	-0.416377	0.340343	0.262676	0.054915	0.292723	0.675258	0.252209	-0.073587	0.420662	0.638561	0.530031	1.000000	0.675258	0.008419	0.523104	0.252116	0.675258	0.890262	-0.070216	0.089609	0.550605	0.877277	0.542756	0.410671	0.519802	0.110744	0.090133	0.058457	-0.285257	0.869481	-0.061640	0.065292	0.067182	0.502293	-0.129655	0.072439	0.375498	0.646297	0.226132	-0.042940	0.745733	-0.022117	0.032014	0.270822	0.272438	0.099811	0.309665	0.442252	0.249404	-0.372369	-0.052452	0.104135	0.095291	0.143507	0.590806	0.218241	-0.659523	-0.027321	0.018943	-0.044217	-0.270197	0.155366	-0.027606	-0.073614
X14	0.986639	-0.409846	0.442423	0.202718	0.034465	0.325531	1.000000	0.166337	0.193914	0.422695	0.969961	0.603397	0.675258	1.000000	-0.002336	0.539674	0.162513	1.000000	0.783810	-0.175951	0.124484	0.903135	0.773193	0.794610	0.438729	0.525488	0.166575	0.176595	-0.076409	-0.319063	0.758212	-0.229398	0.226051	0.256319	0.844510	0.179329	0.071726	0.337912	0.634590	0.144774	-0.028519	0.696843	-0.147397	-0.049603	0.355941	0.219360	-0.095918	0.783074	0.638839	0.225426	-0.315154	-0.225283	0.197453	0.181724	0.092791	0.429326	0.352301	-0.477582	-0.063149	0.100846	0.026426	-0.328211	0.303828	0.090223	-0.068461
X15	0.003741	0.076336	-0.042670	-0.058895	-0.027047	-0.004448	-0.002336	-0.059540	0.010881	-0.074230	-0.010838	-0.037036	0.008419	-0.002336	1.000000	-0.055009	-0.060157	-0.002336	0.030481	0.011334	0.041970	-0.010163	0.035970	-0.030456	-0.047477	-0.052579	-0.008095	-0.009945	0.019010	0.033207	0.031062	0.044541	-0.057462	-0.042729	-0.011516	0.008900	-0.020704	-0.062880	0.018756	-0.047946	0.090275	0.022185	0.015600	0.011813	-0.007698	-0.058577	0.011564	0.008836	0.039361	-0.058215	0.060913	0.047427	-0.015805	-0.015196	0.000990	0.013235	0.018807	-0.016028	0.067635	-0.005849	-0.016256	0.031658	-0.061490	0.004497	0.021812
X16	0.535040	-0.428835	0.379912	0.575260	0.055132	0.196499	0.539674	0.620999	0.041171	0.436396	0.523703	0.866135	0.523104	0.539674	-0.055009	1.000000	0.615555	0.539674	0.497678	-0.080156	0.002704	0.465609	0.489610	0.452825	0.355509	0.992947	0.176364	0.110455	-0.066285	-0.283730	0.490664	-0.182842	0.456026	0.491294	0.435580	0.007571	0.089317	0.375058	0.396657	0.467444	-0.049390	0.435442	-0.088923	-0.053334	0.223841	0.566073	-0.001401	0.323391	0.300759	0.654651	-0.356180	-0.180692	0.130698	0.117764	0.084531	0.344816	0.156451	-0.372401	-0.086609	0.053899	0.057516	-0.256551	0.575761	0.001839	-0.057606
X17	0.163733	-0.544813	0.370835	0.736712	0.088506	0.130243	0.162513	0.996058	-0.105262	0.537014	0.134053	0.493491	0.252116	0.162513	-0.060157	0.615555	1.000000	0.162513	0.241596	0.005803	-0.081077	0.098676	0.233382	0.163288	0.375294	0.596081	0.113764	0.046078	-0.048810	-0.330417	0.232636	-0.202873	0.499711	0.475993	0.095252	-0.151032	0.112263	0.466375	0.140247	0.662867	-0.038959	0.160133	-0.003480	-0.010138	0.089240	0.723453	0.018710	0.093750	0.105147	0.831668	-0.461330	-0.201791	0.066458	0.052556	0.114794	0.116375	0.002142	-0.143003	-0.103356	0.018238	0.031443	-0.253537	0.537666	-0.053225	-0.031228
X18	0.986639	-0.409846	0.442423	0.202718	0.034465	0.325531	1.000000	0.166337	0.193914	0.422695	0.969961	0.603397	0.675258	1.000000	-0.002336	0.539674	0.162513	1.000000	0.783810	-0.175951	0.124484	0.903135	0.773193	0.794610	0.438729	0.525488	0.166575	0.176595	-0.076409	-0.319063	0.758212	-0.229398	0.226051	0.256319	0.844510	0.179329	0.071726	0.337912	0.634590	0.144774	-0.028519	0.696843	-0.147397	-0.049603	0.355941	0.219360	-0.095918	0.783074	0.638839	0.225426	-0.315154	-0.225283	0.197453	0.181724	0.092791	0.429326	0.352301	-0.477582	-0.063149	0.100846	0.026426	-0.328211	0.303828	0.090223	-0.068461
X19	0.775848	-0.431593	0.400711	0.260552	0.064270	0.332926	0.783810	0.243708	0.016985	0.437083	0.745430	0.588689	0.890262	0.783810	0.030481	0.497678	0.241596	0.783810	1.000000	-0.129683	0.112646	0.667262	0.986523	0.630459	0.446765	0.485270	0.130033	0.116335	0.018673	-0.400117	0.957691	-0.212739	0.122727	0.129073	0.609249	-0.014437	0.088900	0.352215	0.736830	0.215940	-0.013507	0.844194	-0.090249	-0.010603	0.305118	0.271102	-0.026889	0.582775	0.747298	0.267783	-0.341494	-0.202069	0.133807	0.119650	0.148336	0.491155	0.263805	-0.574792	-0.038352	0.041177	-0.025011	-0.355959	0.200032	0.014160	-0.062331
X20	-0.166116	0.031391	0.086176	0.086127	-0.027454	-0.044376	-0.175951	0.006013	-0.291543	-0.031063	-0.175185	-0.080524	-0.070216	-0.175951	0.011334	-0.080156	0.005803	-0.175951	-0.129683	1.000000	-0.038791	-0.162804	-0.129364	-0.145110	-0.028765	-0.073231	-0.033795	0.025139	0.147849	0.248101	-0.110964	0.267343	-0.179953	-0.166478	-0.147522	-0.360312	-0.022752	-0.014896	-0.089372	-0.048576	0.028128	-0.090751	0.709362	0.100738	-0.161297	-0.077520	0.856265	-0.126251	-0.128882	0.041095	0.015906	0.261833	0.006982	0.021446	0.065778	-0.029123	-0.101464	0.037601	0.014412	-0.246901	-0.057893	0.331738	-0.175972	-0.041770	0.011333
X21	0.126060	0.032879	-0.045951	-0.084822	-0.021108	0.108872	0.124484	-0.085401	-0.050987	-0.049788	0.117879	0.020486	0.089609	0.124484	0.041970	0.002704	-0.081077	0.124484	0.112646	-0.038791	1.000000	0.142952	0.115768	0.124527	0.058589	0.004118	-0.020798	0.010479	0.294687	0.002963	0.099824	-0.006588	-0.068392	-0.111262	0.161165	0.012966	0.030790	-0.034243	0.166705	-0.072693	0.006025	0.140311	-0.041306	-0.023372	0.066374	-0.078480	-0.020176	0.131628	0.133505	-0.077401	0.027408	-0.004921	0.004500	0.005072	0.032398	0.095277	0.065847	-0.078949	0.011427	0.026082	-0.020613	-0.016493	-0.060314	0.016118	-0.007420
X22	0.876430	-0.286217	0.341209	0.136194	0.018590	0.300052	0.903135	0.102082	0.181247	0.295361	0.913459	0.531726	0.550605	0.903135	-0.010163	0.465609	0.098676	0.903135	0.667262	-0.162804	0.142952	1.000000	0.646901	0.726850	0.343091	0.445201	0.151601	0.152922	-0.042282	-0.244136	0.577615	-0.197010	0.190783	0.216593	0.931493	0.178330	0.048518	0.247494	0.698643	0.095544	-0.060239	0.769387	-0.145972	-0.059431	0.324177	0.154957	-0.117329	0.887516	0.716684	0.158570	-0.222747	-0.193301	0.167498	0.157640	0.055866	0.345627	0.331968	-0.364656	-0.044223	0.089721	0.034640	-0.263707	0.252177	0.096452	-0.069534
X23	0.784918	-0.429401	0.395532	0.252918	0.064919	0.331992	0.773193	0.236517	0.026146	0.435353	0.733017	0.578281	0.877277	0.773193	0.035970	0.489610	0.233382	0.773193	0.986523	-0.129364	0.115768	0.646901	1.000000	0.623910	0.441868	0.487623	0.127842	0.111623	0.020666	-0.398009	0.952663	-0.217489	0.125511	0.131727	0.590967	-0.001701	0.084859	0.348669	0.716786	0.200050	-0.006169	0.819882	-0.096499	-0.019713	0.302154	0.259118	-0.022049	0.562292	0.727347	0.260079	-0.337624	-0.207537	0.129579	0.115200	0.141353	0.496963	0.264570	-0.579250	-0.032286	0.039397	-0.022971	-0.370201	0.202486	0.014413	-0.059399
X24	0.787285	-0.407684	0.403532	0.193995	0.040709	0.490410	0.794610	0.164578	0.132152	0.413814	0.771607	0.497148	0.542756	0.794610	-0.030456	0.452825	0.163288	0.794610	0.630459	-0.145110	0.124527	0.726850	0.623910	1.000000	0.459498	0.442976	0.123601	0.129314	0.051648	-0.310352	0.605927	-0.232803	0.221095	0.195959	0.690442	0.148177	0.099965	0.334809	0.531756	0.131879	-0.049526	0.569465	-0.139504	-0.066235	0.271297	0.200067	-0.076342	0.624877	0.521916	0.214284	-0.317111	-0.229462	0.149018	0.134026	0.127782	0.353728	0.280683	-0.384846	-0.072319	0.066447	0.029370	-0.320256	0.282624	0.049129	-0.085938
X25	0.436367	-0.767448	0.548478	0.331881	0.060916	0.529872	0.438729	0.372654	-0.138955	0.757566	0.372094	0.346041	0.410671	0.438729	-0.047477	0.355509	0.375294	0.438729	0.446765	-0.028765	0.058589	0.343091	0.441868	0.459498	1.000000	0.341665	0.064559	0.102452	0.193474	-0.401760	0.416707	-0.310718	0.275677	0.144851	0.336482	-0.107111	0.125578	0.656389	0.343229	0.239491	-0.062377	0.354776	-0.057902	-0.055826	0.146276	0.312888	0.010099	0.302593	0.301669	0.363912	-0.647963	-0.307320	0.139632	0.113218	0.212301	0.219103	0.034474	-0.268924	-0.103682	-0.009106	-0.012495	-0.400863	0.308632	-0.063167	-0.088024
X26	0.532437	-0.416987	0.366621	0.560377	0.052184	0.192609	0.525488	0.602347	0.039240	0.424838	0.509245	0.851456	0.519802	0.525488	-0.052579	0.992947	0.596081	0.525488	0.485270	-0.073231	0.004118	0.445201	0.487623	0.442976	0.341665	1.000000	0.174579	0.106069	-0.061535	-0.272412	0.484950	-0.174316	0.442184	0.479248	0.416507	0.006827	0.085595	0.366082	0.379944	0.441379	-0.045811	0.416863	-0.083191	-0.051479	0.216655	0.544212	0.008507	0.297463	0.276515	0.637144	-0.347377	-0.172249	0.125893	0.113354	0.078938	0.348357	0.156393	-0.375303	-0.083219	0.048970	0.056847	-0.249746	0.563624	0.000442	-0.057172
X27	0.166045	-0.103475	0.125219	0.107090	0.020870	-0.020667	0.166575	0.116853	0.061342	0.109945	0.157182	0.171340	0.110744	0.166575	-0.008095	0.176364	0.113764	0.166575	0.130033	-0.033795	-0.020798	0.151601	0.127842	0.123601	0.064559	0.174579	1.000000	0.106154	-0.095545	-0.077989	0.119778	-0.049058	0.104584	0.159172	0.144938	0.039858	0.025122	0.087420	0.117644	0.078520	-0.008578	0.124192	-0.026563	-0.007060	0.074317	0.108812	-0.025188	0.132866	0.114011	0.131735	-0.077205	-0.048585	0.117053	0.110669	-0.010815	0.078037	0.056512	-0.084895	-0.026313	0.029179	0.007916	-0.063154	0.123487	0.070583	-0.022650
X28	0.168447	-0.112599	0.345697	0.143508	0.027547	0.016304	0.176595	0.048366	0.103487	0.120849	0.179239	0.100837	0.090133	0.176595	-0.009945	0.110455	0.046078	0.176595	0.116335	0.025139	0.010479	0.152922	0.111623	0.129314	0.102452	0.106069	0.106154	1.000000	-0.152214	-0.119733	0.112381	-0.068230	0.084780	0.126988	0.151705	0.081046	0.018386	0.074979	0.089289	0.101464	-0.007414	0.086600	0.065012	0.069126	0.073276	0.143167	0.034464	0.140353	0.091506	0.154852	-0.072031	-0.067316	0.974084	0.987018	0.016349	0.089521	0.054198	-0.101362	-0.048881	0.034700	-0.032480	-0.091885	0.100688	0.702362	-0.017696
X29	-0.065352	-0.023119	-0.170351	-0.125693	-0.040914	0.269146	-0.076409	-0.060449	-0.463820	-0.025255	-0.110755	-0.050996	0.058457	-0.076409	0.019010	-0.066285	-0.048810	-0.076409	0.018673	0.147849	0.294687	-0.042282	0.020666	0.051648	0.193474	-0.061535	-0.095545	-0.152214	1.000000	0.186082	0.005664	0.150153	-0.244860	-0.406917	0.005500	-0.357759	0.129233	0.050002	0.139372	-0.129402	0.014136	0.079287	0.158195	0.090152	-0.082467	-0.140862	0.140044	-0.020565	0.023081	-0.133970	-0.088587	0.152177	-0.158452	-0.155890	0.289565	0.051083	-0.072263	-0.029595	0.097073	-0.138411	-0.173292	0.154402	-0.235682	-0.173049	-0.012940
X30	-0.311830	0.515484	-0.479877	-0.314071	-0.107566	-0.187878	-0.319063	-0.328477	-0.235213	-0.511110	-0.288351	-0.281527	-0.285257	-0.319063	0.033207	-0.283730	-0.330417	-0.319063	-0.400117	0.248101	0.002963	-0.244136	-0.398009	-0.310352	-0.401760	-0.272412	-0.077989	-0.119733	0.186082	1.000000	-0.351568	0.589938	-0.322489	-0.296812	-0.230870	-0.286652	-0.094467	-0.287814	-0.220532	-0.300788	0.072413	-0.229581	0.380360	0.313464	-0.127933	-0.321507	0.176011	-0.198772	-0.283092	-0.386675	0.276640	0.576150	-0.146153	-0.124435	-0.137480	-0.141617	-0.075320	0.217331	0.162265	-0.060894	-0.110529	0.717577	-0.335055	-0.069246	0.060324
X31	0.759347	-0.407343	0.384679	0.257244	0.063250	0.285330	0.758212	0.235721	0.005783	0.416636	0.726575	0.577959	0.869481	0.758212	0.031062	0.490664	0.232636	0.758212	0.957691	-0.110964	0.099824	0.577615	0.952663	0.605927	0.416707	0.484950	0.119778	0.112381	0.005664	-0.351568	1.000000	-0.172884	0.098680	0.114290	0.527320	-0.034807	0.085866	0.347478	0.647356	0.209233	0.008282	0.745194	-0.069745	0.001482	0.291001	0.263878	0.009626	0.492977	0.644955	0.255109	-0.336324	-0.163399	0.129390	0.116033	0.137720	0.525676	0.265748	-0.593184	-0.025943	0.035034	-0.027037	-0.323109	0.186695	0.007678	-0.061671
X32	-0.223234	0.381048	-0.400153	-0.245968	-0.091417	-0.170421	-0.229398	-0.201888	-0.252127	-0.378412	-0.205197	-0.191443	-0.061640	-0.229398	0.044541	-0.182842	-0.202873	-0.229398	-0.212739	0.267343	-0.006588	-0.197010	-0.217489	-0.232803	-0.310718	-0.174316	-0.049058	-0.068230	0.150153	0.589938	-0.172884	1.000000	-0.384590	-0.282151	-0.169018	-0.311735	-0.039937	-0.376664	-0.081951	-0.161733	0.059864	-0.123582	0.432437	0.369645	-0.074696	-0.226262	0.369974	-0.232348	-0.246888	-0.226495	0.387199	0.972763	-0.075766	-0.069399	-0.111867	0.138774	-0.043703	-0.066348	0.037030	-0.061713	-0.148467	0.822232	-0.375708	-0.040219	0.049938
X33	0.222979	-0.433911	0.412000	0.628272	0.075665	0.101316	0.226051	0.503276	0.316567	0.438496	0.210564	0.465098	0.065292	0.226051	-0.057462	0.456026	0.499711	0.226051	0.122727	-0.179953	-0.068392	0.190783	0.125511	0.221095	0.275677	0.442184	0.104584	0.084780	-0.244860	-0.322489	0.098680	-0.384590	1.000000	0.785572	0.172110	0.341982	0.029217	0.424210	0.053984	0.449735	-0.063890	0.072258	-0.273281	-0.223690	0.094154	0.577647	-0.178816	0.172927	0.112011	0.537585	-0.424773	-0.382603	0.095941	0.088489	0.038273	-0.042099	0.040144	0.010898	-0.071391	0.111917	0.249754	-0.414954	0.979498	0.046375	-0.024974
X34	0.251163	-0.355113	0.371794	0.497673	0.066536	-0.071083	0.256319	0.490986	0.494586	0.390229	0.261868	0.428698	0.067182	0.256319	-0.042729	0.491294	0.475993	0.256319	0.129073	-0.166478	-0.111262	0.216593	0.131727	0.195959	0.144851	0.479248	0.159172	0.126988	-0.406917	-0.296812	0.114290	-0.282151	0.785572	1.000000	0.197662	0.369823	-0.004261	0.306332	0.058869	0.383554	-0.039473	0.074234	-0.221513	-0.162751	0.124414	0.482487	-0.152086	0.192381	0.117689	0.561493	-0.266045	-0.281220	0.149700	0.136127	-0.050508	0.011578	0.058603	-0.032927	-0.099145	0.135296	0.193137	-0.310236	0.783418	0.104211	-0.014857
X35	0.818934	-0.281696	0.338155	0.128303	0.013616	0.299620	0.844510	0.098226	0.166198	0.289330	0.854108	0.494719	0.502293	0.844510	-0.011516	0.435580	0.095252	0.844510	0.609249	-0.147522	0.161165	0.931493	0.590967	0.690442	0.336482	0.416507	0.144938	0.151705	0.005500	-0.230870	0.527320	-0.169018	0.172110	0.197662	1.000000	0.166666	0.051576	0.246500	0.783044	0.084626	-0.052707	0.700120	-0.129621	-0.050113	0.301064	0.145192	-0.086148	0.824770	0.652915	0.151980	-0.218265	-0.168411	0.166330	0.157105	0.059100	0.427554	0.316845	-0.379207	-0.042354	0.081054	0.027107	-0.253671	0.241589	0.095181	-0.079822
X36	0.170876	0.126667	0.026828	-0.109101	0.015149	-0.021889	0.179329	-0.147782	0.841171	-0.115645	0.193137	0.014167	-0.129655	0.179329	0.008900	0.007571	-0.151032	0.179329	-0.014437	-0.360312	0.012966	0.178330	-0.001701	0.148177	-0.107111	0.006827	0.039858	0.081046	-0.357759	-0.286652	-0.034807	-0.311735	0.341982	0.369823	0.166666	1.000000	-0.015905	-0.234607	-0.061875	-0.096348	-0.039383	-0.072713	-0.458120	-0.322173	0.057079	-0.084842	-0.329202	0.143422	0.061646	-0.064212	0.261170	-0.309052	0.087264	0.081860	-0.077310	-0.089130	0.123156	0.074876	-0.073231	0.190607	0.324445	-0.335452	0.313072	0.281764	0.027772
X37	0.067557	-0.121053	0.105993	0.094566	0.012804	0.103846	0.071726	0.109780	-0.047075	0.114424	0.057894	0.074612	0.072439	0.071726	-0.020704	0.089317	0.112263	0.071726	0.088900	-0.022752	0.030790	0.048518	0.084859	0.099965	0.125578	0.085595	0.025122	0.018386	0.129233	-0.094467	0.085866	-0.039937	0.029217	-0.004261	0.051576	-0.015905	1.000000	0.048974	0.061271	0.075930	-0.022549	0.058580	0.017697	0.045470	0.011393	0.100933	-0.011682	0.052005	0.059839	0.124042	-0.050310	-0.039844	0.023789	0.016390	0.144625	0.042364	0.016838	-0.048185	-0.060041	-0.007301	-0.045635	-0.047391	0.039113	0.005128	-0.024150
X38	0.341939	-0.841042	0.640356	0.466171	0.098344	0.298124	0.337912	0.472540	-0.165460	0.861056	0.287901	0.346062	0.375498	0.337912	-0.062880	0.375058	0.466375	0.337912	0.352215	-0.014896	-0.034243	0.247494	0.348669	0.334809	0.656389	0.366082	0.087420	0.074979	0.050002	-0.287814	0.347478	-0.376664	0.424210	0.306332	0.246500	-0.234607	0.048974	1.000000	0.283458	0.336580	-0.041258	0.291070	-0.056072	-0.065733	0.130613	0.430319	0.031066	0.202979	0.192626	0.416876	-0.959706	-0.371959	0.102436	0.095230	0.203732	0.233128	-0.029495	-0.255773	0.010512	0.004208	0.046176	-0.485576	0.455369	-0.152334	-0.100520
X39	0.616955	-0.295129	0.283452	0.162862	0.030064	0.316429	0.634590	0.142506	-0.028875	0.296295	0.637394	0.471700	0.646297	0.634590	0.018756	0.396657	0.140247	0.634590	0.736830	-0.089372	0.166705	0.698643	0.716786	0.531756	0.343229	0.379944	0.117644	0.089289	0.139372	-0.220532	0.647356	-0.081951	0.053984	0.058869	0.783044	-0.061875	0.061271	0.283458	1.000000	0.126286	-0.037053	0.871696	-0.058524	-0.002124	0.250594	0.174790	0.004233	0.624273	0.769741	0.165935	-0.263667	-0.086834	0.100414	0.093638	0.104996	0.568681	0.224688	-0.488765	-0.006742	0.025879	-0.029419	-0.229114	0.132591	0.007425	-0.093586
X40	0.136904	-0.354403	0.393828	0.833868	0.115386	0.056704	0.144774	0.662747	-0.055565	0.358121	0.132692	0.416491	0.226132	0.144774	-0.047946	0.467444	0.662867	0.144774	0.215940	-0.048576	-0.072693	0.095544	0.200050	0.131879	0.239491	0.441379	0.078520	0.101464	-0.129402	-0.300788	0.209233	-0.161733	0.449735	0.383554	0.084626	-0.096348	0.075930	0.336580	0.126286	1.000000	-0.025342	0.158630	-0.059655	-0.040461	0.105545	0.913204	-0.030649	0.092078	0.106085	0.781439	-0.334300	-0.160502	0.112573	0.104340	0.091910	0.107425	0.014414	-0.128629	-0.062529	0.048518	0.061018	-0.198645	0.477129	-0.009735	-0.008780
X41	-0.019913	0.076737	-0.043955	-0.039825	-0.022939	-0.055246	-0.028519	-0.037450	-0.021923	-0.070178	-0.031378	-0.035942	-0.042940	-0.028519	0.090275	-0.049390	-0.038959	-0.028519	-0.013507	0.028128	0.006025	-0.060239	-0.006169	-0.049526	-0.062377	-0.045811	-0.008578	-0.007414	0.014136	0.072413	0.008282	0.059864	-0.063890	-0.039473	-0.052707	-0.039383	-0.022549	-0.041258	-0.037053	-0.025342	1.000000	-0.041829	0.030082	0.017131	-0.001336	-0.038027	0.036752	-0.017951	-0.002945	-0.044398	0.038558	0.061399	-0.012272	-0.010501	-0.021627	0.076556	0.007214	-0.065768	0.029000	-0.002459	-0.021777	0.048606	-0.055900	-0.002059	0.003571
X42	0.677517	-0.303822	0.292865	0.189831	0.041149	0.317320	0.696843	0.162938	-0.035255	0.306321	0.698619	0.521563	0.745733	0.696843	0.022185	0.435442	0.160133	0.696843	0.844194	-0.090751	0.140311	0.769387	0.819882	0.569465	0.354776	0.416863	0.124192	0.086600	0.079287	-0.229581	0.745194	-0.123582	0.072258	0.074234	0.700120	-0.072713	0.058580	0.291070	0.871696	0.158630	-0.041829	1.000000	-0.056888	0.001427	0.276541	0.203442	-0.024542	0.688680	0.877400	0.188691	-0.277710	-0.116384	0.097412	0.090047	0.104359	0.455326	0.240833	-0.477028	-0.006503	0.028944	-0.028846	-0.231775	0.139941	0.004044	-0.074775
X43	-0.139574	0.059635	0.119385	0.081166	0.004207	-0.059388	-0.147397	-0.003550	-0.366556	-0.058512	-0.147263	-0.085018	-0.022117	-0.147397	0.015600	-0.088923	-0.003480	-0.147397	-0.090249	0.709362	-0.041306	-0.145972	-0.096499	-0.139504	-0.057902	-0.083191	-0.026563	0.065012	0.158195	0.380360	-0.069745	0.432437	-0.273281	-0.221513	-0.129621	-0.458120	0.017697	-0.056072	-0.058524	-0.059655	0.030082	-0.056888	1.000000	0.772718	-0.085119	0.011152	0.613574	-0.096077	-0.112619	0.051535	0.061787	0.423923	0.047106	0.059489	0.082706	-0.009190	-0.070424	0.016776	0.001598	-0.150907	-0.303414	0.513064	-0.265085	-0.027379	0.016609
X44	-0.047417	0.055907	0.090909	0.037006	0.030663	-0.043865	-0.049603	-0.010426	-0.254857	-0.054618	-0.050103	-0.047489	0.032014	-0.049603	0.011813	-0.053334	-0.010138	-0.049603	-0.010603	0.100738	-0.023372	-0.059431	-0.019713	-0.066235	-0.055826	-0.051479	-0.007060	0.069126	0.090152	0.313464	0.001482	0.369645	-0.223690	-0.162751	-0.050113	-0.322173	0.045470	-0.065733	-0.002124	-0.040461	0.017131	0.001427	0.772718	1.000000	0.025108	0.085552	0.094970	-0.021920	-0.042900	0.035735	0.072890	0.362589	0.060203	0.064656	0.057507	0.013255	-0.008032	-0.010183	-0.010724	0.009337	-0.376143	0.425461	-0.215705	-0.001031	0.013238
X45	0.350532	-0.155660	0.146708	0.082481	0.025849	0.068096	0.355941	0.091217	0.077509	0.161853	0.350193	0.237528	0.270822	0.355941	-0.007698	0.223841	0.089240	0.355941	0.305118	-0.161297	0.066374	0.324177	0.302154	0.271297	0.146276	0.216655	0.074317	0.073276	-0.082467	-0.127933	0.291001	-0.074696	0.094154	0.124414	0.301064	0.057079	0.011393	0.130613	0.250594	0.105545	-0.001336	0.276541	-0.085119	0.025108	1.000000	0.137950	-0.137906	0.282835	0.244851	0.094236	-0.121360	-0.073676	0.077512	0.076795	0.011009	0.160820	0.121293	-0.186959	-0.022618	0.600167	0.023297	-0.110756	0.123616	0.037664	-0.029353
X46	0.213905	-0.446511	0.515663	0.934951	0.129611	0.090086	0.219360	0.725760	-0.039211	0.452207	0.202294	0.530777	0.272438	0.219360	-0.058577	0.566073	0.723453	0.219360	0.271102	-0.077520	-0.078480	0.154957	0.259118	0.200067	0.312888	0.544212	0.108812	0.143167	-0.140862	-0.321507	0.263878	-0.226262	0.577647	0.482487	0.145192	-0.084842	0.100933	0.430319	0.174790	0.913204	-0.038027	0.203442	0.011152	0.085552	0.137950	1.000000	-0.048159	0.143204	0.148818	0.859082	-0.426747	-0.224233	0.154076	0.145691	0.120984	0.143548	0.035162	-0.168964	-0.075252	0.065010	-0.031211	-0.274846	0.615789	0.005258	-0.033125
X47	-0.083304	-0.015461	0.127425	0.102330	-0.019841	-0.022917	-0.095918	0.020398	-0.252463	0.020338	-0.094852	-0.020429	0.099811	-0.095918	0.011564	-0.001401	0.018710	-0.095918	-0.026889	0.856265	-0.020176	-0.117329	-0.022049	-0.076342	0.010099	0.008507	-0.025188	0.034464	0.140044	0.176011	0.009626	0.369974	-0.178816	-0.152086	-0.086148	-0.329202	-0.011682	0.031066	0.004233	-0.030649	0.036752	-0.024542	0.613574	0.094970	-0.137906	-0.048159	1.000000	-0.179791	-0.151901	0.060561	-0.026162	0.392490	0.022826	0.032616	0.077128	0.257342	-0.064166	-0.232283	0.007000	-0.224357	-0.052987	0.237804	-0.141702	-0.038733	-0.011240
X48	0.756402	-0.243047	0.305507	0.124996	0.020984	0.269100	0.783074	0.096212	0.141969	0.248633	0.790908	0.460739	0.309665	0.783074	0.008836	0.323391	0.093750	0.783074	0.582775	-0.126251	0.131628	0.887516	0.562292	0.624877	0.302593	0.297463	0.132866	0.140353	-0.020565	-0.198772	0.492977	-0.232348	0.172927	0.192381	0.824770	0.143422	0.052005	0.202979	0.624273	0.092078	-0.017951	0.688680	-0.096077	-0.021920	0.282835	0.143204	-0.179791	1.000000	0.820766	0.145493	-0.180451	-0.229831	0.153156	0.142376	0.054574	0.139864	0.284833	-0.161034	-0.028115	0.082440	0.013645	-0.203045	0.206420	0.100942	-0.040340
X49	0.617883	-0.238018	0.278593	0.137404	0.039527	0.283360	0.638839	0.109454	0.064570	0.240910	0.641463	0.454465	0.442252	0.638839	0.039361	0.300759	0.105147	0.638839	0.747298	-0.128882	0.133505	0.716684	0.727347	0.521916	0.301669	0.276515	0.114011	0.091506	0.023081	-0.283092	0.644955	-0.246888	0.112011	0.117689	0.652915	0.061646	0.059839	0.192626	0.769741	0.106085	-0.002945	0.877400	-0.112619	-0.042900	0.244851	0.148818	-0.151901	0.820766	1.000000	0.157492	-0.174334	-0.240100	0.102892	0.092193	0.081333	0.238021	0.229709	-0.267113	-0.014139	0.044723	-0.001989	-0.257580	0.149467	0.046456	-0.046225
X50	0.221475	-0.506156	0.547184	0.880694	0.104870	0.122782	0.225426	0.834378	-0.027853	0.508481	0.203763	0.528408	0.249404	0.225426	-0.058215	0.654651	0.831668	0.225426	0.267783	0.041095	-0.077401	0.158570	0.260079	0.214284	0.363912	0.637144	0.131735	0.154852	-0.133970	-0.386675	0.255109	-0.226495	0.537585	0.561493	0.151980	-0.064212	0.124042	0.416876	0.165935	0.781439	-0.044398	0.188691	0.051535	0.035735	0.094236	0.859082	0.060561	0.145493	0.157492	1.000000	-0.399049	-0.224944	0.177078	0.161656	0.127415	0.141240	0.030840	-0.168979	-0.114656	0.013950	-0.013820	-0.269352	0.581317	0.015716	-0.033532
X51	-0.320006	0.840906	-0.644080	-0.463965	-0.096546	-0.305172	-0.315154	-0.458230	0.203235	-0.830838	-0.260414	-0.334079	-0.372369	-0.315154	0.060913	-0.356180	-0.461330	-0.315154	-0.341494	0.015906	0.027408	-0.222747	-0.337624	-0.317111	-0.647963	-0.347377	-0.077205	-0.072031	-0.088587	0.276640	-0.336324	0.387199	-0.424773	-0.266045	-0.218265	0.261170	-0.050310	-0.959706	-0.263667	-0.334300	0.038558	-0.277710	0.061787	0.072890	-0.121360	-0.426747	-0.026162	-0.180451	-0.174334	-0.399049	1.000000	0.382309	-0.084885	-0.076429	-0.222813	-0.215415	0.044828	0.243486	-0.010545	0.003072	-0.046172	0.496041	-0.453166	0.169457	0.093360
X52	-0.219269	0.377787	-0.395206	-0.244076	-0.085069	-0.170262	-0.225283	-0.200851	-0.249975	-0.375426	-0.201567	-0.189401	-0.052452	-0.225283	0.047427	-0.180692	-0.201791	-0.225283	-0.202069	0.261833	-0.004921	-0.193301	-0.207537	-0.229462	-0.307320	-0.172249	-0.048585	-0.067316	0.152177	0.576150	-0.163399	0.972763	-0.382603	-0.281220	-0.168411	-0.309052	-0.039844	-0.371959	-0.086834	-0.160502	0.061399	-0.116384	0.423923	0.362589	-0.073676	-0.224233	0.392490	-0.229831	-0.240100	-0.224944	0.382309	1.000000	-0.074897	-0.068487	-0.110844	0.145773	-0.042516	-0.078105	0.037367	-0.061097	-0.146697	0.804552	-0.372305	-0.039695	0.038358
X53	0.189630	-0.159130	0.348739	0.152028	0.028907	0.029109	0.197453	0.069524	0.112831	0.170387	0.197028	0.115530	0.104135	0.197453	-0.015805	0.130698	0.066458	0.197453	0.133807	0.006982	0.004500	0.167498	0.129579	0.149018	0.139632	0.125893	0.117053	0.974084	-0.158452	-0.146153	0.129390	-0.075766	0.095941	0.149700	0.166330	0.087264	0.023789	0.102436	0.100414	0.112573	-0.012272	0.097412	0.047106	0.060203	0.077512	0.154076	0.022826	0.153156	0.102892	0.177078	-0.084885	-0.074897	1.000000	0.986232	0.012826	0.095945	0.052422	-0.106745	-0.057886	0.031974	-0.028344	-0.102698	0.113383	0.683742	-0.020705
X54	0.173884	-0.125351	0.342617	0.145963	0.028045	0.017654	0.181724	0.055652	0.107408	0.136936	0.184450	0.105207	0.095291	0.181724	-0.015196	0.117764	0.052556	0.181724	0.119650	0.021446	0.005072	0.157640	0.115200	0.134026	0.113218	0.113354	0.110669	0.987018	-0.155890	-0.124435	0.116033	-0.069399	0.088489	0.136127	0.157105	0.081860	0.016390	0.095230	0.093638	0.104340	-0.010501	0.090047	0.059489	0.064656	0.076795	0.145691	0.032616	0.142376	0.092193	0.161656	-0.076429	-0.068487	0.986232	1.000000	0.013587	0.094793	0.052615	-0.106196	-0.047383	0.036630	-0.030114	-0.094265	0.105133	0.700246	-0.017358
X55	0.088845	-0.218114	0.258463	0.132158	0.039220	0.186310	0.092791	0.109181	-0.080879	0.198194	0.073451	0.080612	0.143507	0.092791	0.000990	0.084531	0.114794	0.092791	0.148336	0.065778	0.032398	0.055866	0.141353	0.127782	0.212301	0.078938	-0.010815	0.016349	0.289565	-0.137480	0.137720	-0.111867	0.038273	-0.050508	0.059100	-0.077310	0.144625	0.203732	0.104996	0.091910	-0.021627	0.104359	0.082706	0.057507	0.011009	0.120984	0.077128	0.054574	0.081333	0.127415	-0.222813	-0.110844	0.012826	0.013587	1.000000	0.080259	0.005900	-0.089326	-0.012464	-0.035007	-0.058627	-0.156909	0.048683	-0.023004	-0.030398
X56	0.435000	-0.222276	0.250272	0.145858	0.023667	0.147578	0.429326	0.124427	-0.021549	0.240077	0.428095	0.326960	0.590806	0.429326	0.013235	0.344816	0.116375	0.429326	0.491155	-0.029123	0.095277	0.345627	0.496963	0.353728	0.219103	0.348357	0.078037	0.089521	0.051083	-0.141617	0.525676	0.138774	-0.042099	0.011578	0.427554	-0.089130	0.042364	0.233128	0.568681	0.107425	0.076556	0.455326	-0.009190	0.013255	0.160820	0.143548	0.257342	0.139864	0.238021	0.141240	-0.215415	0.145773	0.095945	0.094793	0.080259	1.000000	0.160037	-0.906313	-0.021539	-0.008246	-0.029046	-0.173513	0.087837	-0.000409	-0.051493
X57	0.353280	0.022821	0.065403	0.025678	-0.018842	0.078581	0.352301	0.004321	0.117980	-0.011267	0.357253	0.181255	0.218241	0.352301	0.018807	0.156451	0.002142	0.352301	0.263805	-0.101464	0.065847	0.331968	0.264570	0.280683	0.034474	0.156393	0.056512	0.054198	-0.072263	-0.075320	0.265748	-0.043703	0.040144	0.058603	0.316845	0.123156	0.016838	-0.029495	0.224688	0.014414	0.007214	0.240833	-0.070424	-0.008032	0.121293	0.035162	-0.064166	0.284833	0.229709	0.030840	0.044828	-0.042516	0.052422	0.052615	0.005900	0.160037	1.000000	-0.164609	-0.221448	0.046434	-0.005078	-0.076708	0.065729	0.074096	-0.029232
X58	-0.483490	0.274437	-0.286991	-0.173743	-0.030546	-0.165564	-0.477582	-0.150837	0.015789	-0.289825	-0.441766	-0.360123	-0.659523	-0.477582	-0.016028	-0.372401	-0.143003	-0.477582	-0.574792	0.037601	-0.078949	-0.364656	-0.579250	-0.384846	-0.268924	-0.375303	-0.084895	-0.101362	-0.029595	0.217331	-0.593184	-0.066348	0.010898	-0.032927	-0.379207	0.074876	-0.048185	-0.255773	-0.488765	-0.128629	-0.065768	-0.477028	0.016776	-0.010183	-0.186959	-0.168964	-0.232283	-0.161034	-0.267113	-0.168979	0.243486	-0.078105	-0.106745	-0.106196	-0.089326	-0.906313	-0.164609	1.000000	0.032429	-0.006204	0.036410	0.223040	-0.109416	-0.006769	0.027121
X59	-0.055023	0.167093	-0.106926	-0.071209	0.003304	0.005976	-0.063149	-0.102770	-0.067810	-0.165695	-0.059206	-0.058178	-0.027321	-0.063149	0.067635	-0.086609	-0.103356	-0.063149	-0.038352	0.014412	0.011427	-0.044223	-0.032286	-0.072319	-0.103682	-0.083219	-0.026313	-0.048881	0.097073	0.162265	-0.025943	0.037030	-0.071391	-0.099145	-0.042354	-0.073231	-0.060041	0.010512	-0.006742	-0.062529	0.029000	-0.006503	0.001598	-0.010724	-0.022618	-0.075252	0.007000	-0.028115	-0.014139	-0.114656	-0.010545	0.037367	-0.057886	-0.047383	-0.012464	-0.021539	-0.221448	0.032429	1.000000	-0.015115	-0.027642	0.042557	-0.077391	-0.038580	0.011717
X60	0.093349	-0.010320	0.005624	0.002257	0.015535	-0.010261	0.100846	0.019644	0.182974	0.014593	0.101668	0.047720	0.018943	0.100846	-0.005849	0.053899	0.018238	0.100846	0.041177	-0.246901	0.026082	0.089721	0.039397	0.066447	-0.009106	0.048970	0.029179	0.034700	-0.138411	-0.060894	0.035034	-0.061713	0.111917	0.135296	0.081054	0.190607	-0.007301	0.004208	0.025879	0.048518	-0.002459	0.028944	-0.150907	0.009337	0.600167	0.065010	-0.224357	0.082440	0.044723	0.013950	0.003072	-0.061097	0.031974	0.036630	-0.035007	-0.008246	0.046434	-0.006204	-0.015115	1.000000	0.068318	-0.065268	0.107102	0.067387	0.003329
X61	0.025224	-0.034381	-0.081993	-0.004392	-0.000927	-0.000416	0.026426	0.032587	0.255742	0.039214	0.032009	0.053524	-0.044217	0.026426	-0.016256	0.057516	0.031443	0.026426	-0.025011	-0.057893	-0.020613	0.034640	-0.022971	0.029370	-0.012495	0.056847	0.007916	-0.032480	-0.173292	-0.110529	-0.027037	-0.148467	0.249754	0.193137	0.027107	0.324445	-0.045635	0.046176	-0.029419	0.061018	-0.021777	-0.028846	-0.303414	-0.376143	0.023297	-0.031211	-0.052987	0.013645	-0.001989	-0.013820	-0.046172	-0.146697	-0.028344	-0.030114	-0.058627	-0.029046	-0.005078	0.036410	-0.027642	0.068318	1.000000	-0.157605	0.245070	0.000794	0.019071
X62	-0.325346	0.487714	-0.510469	-0.294623	-0.119662	-0.216723	-0.328211	-0.253880	-0.279118	-0.488517	-0.299548	-0.244005	-0.270197	-0.328211	0.031658	-0.256551	-0.253537	-0.328211	-0.355959	0.331738	-0.016493	-0.263707	-0.370201	-0.320256	-0.400863	-0.249746	-0.063154	-0.091885	0.154402	0.717577	-0.323109	0.822232	-0.414954	-0.310236	-0.253671	-0.335452	-0.047391	-0.485576	-0.229114	-0.198645	0.048606	-0.231775	0.513064	0.425461	-0.110756	-0.274846	0.237804	-0.203045	-0.257580	-0.269352	0.496041	0.804552	-0.102698	-0.094265	-0.156909	-0.173513	-0.076708	0.223040	0.042557	-0.065268	-0.157605	1.000000	-0.426805	-0.043249	0.069831
X63	0.301502	-0.463818	0.445796	0.667574	0.079057	0.119409	0.303828	0.542905	0.299664	0.471270	0.289008	0.586723	0.155366	0.303828	-0.061490	0.575761	0.537666	0.303828	0.200032	-0.175972	-0.060314	0.252177	0.202486	0.282624	0.308632	0.563624	0.123487	0.100688	-0.235682	-0.335055	0.186695	-0.375708	0.979498	0.783418	0.241589	0.313072	0.039113	0.455369	0.132591	0.477129	-0.055900	0.139941	-0.265085	-0.215705	0.123616	0.615789	-0.141702	0.206420	0.149467	0.581317	-0.453166	-0.372305	0.113383	0.105133	0.048683	0.087837	0.065729	-0.109416	-0.077391	0.107102	0.245070	-0.426805	1.000000	0.043687	-0.038279
X64	0.084148	0.092525	0.132786	-0.004492	0.008778	-0.045770	0.090223	-0.051475	0.278272	-0.083674	0.107017	0.006658	-0.027606	0.090223	0.004497	0.001839	-0.053225	0.090223	0.014160	-0.041770	0.016118	0.096452	0.014413	0.049129	-0.063167	0.000442	0.070583	0.702362	-0.173049	-0.069246	0.007678	-0.040219	0.046375	0.104211	0.095181	0.281764	0.005128	-0.152334	0.007425	-0.009735	-0.002059	0.004044	-0.027379	-0.001031	0.037664	0.005258	-0.038733	0.100942	0.046456	0.015716	0.169457	-0.039695	0.683742	0.700246	-0.023004	-0.000409	0.074096	-0.006769	-0.038580	0.067387	0.000794	-0.043249	0.043687	1.000000	0.012377
Y	-0.069069	0.087193	-0.086340	-0.030725	-0.020537	-0.064306	-0.068461	-0.031821	0.007015	-0.088453	-0.072805	-0.059604	-0.073614	-0.068461	0.021812	-0.057606	-0.031228	-0.068461	-0.062331	0.011333	-0.007420	-0.069534	-0.059399	-0.085938	-0.088024	-0.057172	-0.022650	-0.017696	-0.012940	0.060324	-0.061671	0.049938	-0.024974	-0.014857	-0.079822	0.027772	-0.024150	-0.100520	-0.093586	-0.008780	0.003571	-0.074775	0.016609	0.013238	-0.029353	-0.033125	-0.011240	-0.040340	-0.046225	-0.033532	0.093360	0.038358	-0.020705	-0.017358	-0.030398	-0.051493	-0.029232	0.027121	0.011717	0.003329	0.019071	0.069831	-0.038279	0.012377	1.000000

--------------------------------------------------------------------------
For df3

	X1	X2	X3	X4	X5	X6	X7	X8	X9	X10	X11	X12	X13	X14	X15	X16	X17	X18	X19	X20	X21	X22	X23	X24	X25	X26	X27	X28	X29	X30	X31	X32	X33	X34	X35	X36	X37	X38	X39	X40	X41	X42	X43	X44	X45	X46	X47	X48	X49	X50	X51	X52	X53	X54	X55	X56	X57	X58	X59	X60	X61	X62	X63	X64	Y
X1	1.000000	-0.333207	0.337610	0.141975	0.050033	0.286398	0.984154	0.120637	0.170008	0.341073	0.947552	0.591114	0.656002	0.984154	-0.001975	0.501202	0.118840	0.984154	0.779537	-0.161658	0.207217	0.892521	0.790411	0.716112	0.364312	0.496045	0.170086	0.135103	0.027611	-0.227222	0.746461	-0.151778	0.193790	0.194526	0.830574	0.182025	0.042977	0.296528	0.637947	0.100669	-0.016003	0.707970	-0.138426	-0.044501	0.325824	0.148861	-0.075709	0.768844	0.641447	0.152423	-0.276578	-0.150625	0.146644	0.138430	0.087559	0.449324	0.315941	-0.475262	-0.034502	0.066428	0.039612	-0.253080	0.271166	0.077265	-0.110029
X2	-0.333207	1.000000	-0.676097	-0.461289	-0.142233	-0.386245	-0.331751	-0.533810	0.117662	-0.984867	-0.274413	-0.332468	-0.332292	-0.331751	0.102200	-0.382716	-0.537905	-0.331751	-0.345551	0.025926	0.079506	-0.249901	-0.339619	-0.405196	-0.769793	-0.370868	-0.059193	-0.136738	-0.064761	0.507255	-0.306043	0.372884	-0.417148	-0.343339	-0.242112	0.140063	-0.102419	-0.826788	-0.259108	-0.349024	0.062119	-0.265636	0.039327	0.031232	-0.138075	-0.430831	-0.018458	-0.210385	-0.203276	-0.500252	0.823765	0.372251	-0.178161	-0.148968	-0.207182	-0.196439	0.088669	0.224599	0.176337	-0.023733	-0.023462	0.470506	-0.442297	0.094726	0.112857
X3	0.337610	-0.676097	1.000000	0.549477	0.180191	0.247972	0.346800	0.378505	0.064023	0.682212	0.322937	0.305438	0.237258	0.346800	-0.069371	0.324299	0.376594	0.346800	0.305992	0.079079	-0.031975	0.274316	0.297216	0.400523	0.529799	0.308148	0.082059	0.363976	-0.156718	-0.471649	0.280858	-0.408581	0.416420	0.374208	0.265169	0.023969	0.075075	0.645497	0.223285	0.402004	-0.050446	0.232133	0.135693	0.117406	0.121206	0.512181	0.120881	0.247595	0.233354	0.541912	-0.645962	-0.407498	0.361399	0.362957	0.237150	0.207939	-0.028613	-0.229822	-0.083789	0.017550	-0.082474	-0.512818	0.444299	0.155709	-0.090460
X4	0.141975	-0.461289	0.549477	1.000000	0.136478	0.103795	0.146930	0.769590	-0.072803	0.467311	0.130769	0.498241	0.194754	0.146930	-0.059981	0.514124	0.766529	0.146930	0.200856	0.071717	-0.058890	0.099077	0.188521	0.210027	0.312134	0.499461	0.061108	0.160979	-0.104894	-0.321451	0.192607	-0.233445	0.636251	0.502952	0.097699	-0.118119	0.062942	0.452268	0.132201	0.841698	-0.038622	0.141232	0.093330	0.064649	0.087062	0.942957	0.094537	0.092559	0.106030	0.891431	-0.452672	-0.233326	0.167319	0.163325	0.114699	0.121487	-0.006392	-0.132500	-0.057733	0.015583	-0.011547	-0.276752	0.675840	-0.000233	-0.042040
X5	0.050033	-0.142233	0.180191	0.136478	1.000000	0.038007	0.051634	0.112387	0.031271	0.143278	0.048240	0.084356	0.041301	0.051634	-0.052038	0.074663	0.112227	0.051634	0.066802	-0.061578	-0.002850	0.038551	0.065185	0.067219	0.083933	0.070294	0.050202	0.049082	-0.027516	-0.169381	0.060855	-0.180707	0.117114	0.106909	0.028888	0.023788	0.019834	0.141118	0.033416	0.119281	-0.030000	0.044679	-0.008093	0.045846	0.035266	0.147023	-0.053729	0.043023	0.056352	0.129221	-0.146291	-0.177488	0.049437	0.049012	0.048156	0.006689	-0.008600	-0.021587	-0.022423	0.026001	0.006145	-0.188597	0.117527	0.014869	-0.022826
X6	0.286398	-0.386245	0.247972	0.103795	0.038007	1.000000	0.289014	0.136412	-0.141316	0.363369	0.244639	0.222323	0.260100	0.289014	-0.026543	0.219485	0.143081	0.289014	0.312922	-0.074897	-0.047742	0.262692	0.308486	0.481201	0.542555	0.213771	-0.000078	0.020090	0.263489	-0.213043	0.263225	-0.176797	0.102835	-0.064578	0.270796	-0.013830	0.089502	0.302880	0.298316	0.068242	-0.017844	0.295083	-0.075955	-0.037250	0.063884	0.099976	-0.043374	0.237477	0.270398	0.132106	-0.304694	-0.174936	0.036877	0.022901	0.178520	0.152877	0.056635	-0.165090	-0.015823	0.000157	0.002925	-0.225042	0.123760	-0.051797	-0.088975
X7	0.984154	-0.331751	0.346800	0.146930	0.051634	0.289014	1.000000	0.120815	0.175360	0.338861	0.966024	0.600987	0.659124	1.000000	-0.008627	0.507928	0.119164	1.000000	0.789237	-0.170266	0.211083	0.915076	0.773646	0.726170	0.365807	0.492184	0.171689	0.143299	0.018115	-0.235752	0.749396	-0.157729	0.197523	0.198079	0.851785	0.188980	0.046428	0.290410	0.652831	0.108809	-0.023492	0.723523	-0.146517	-0.047883	0.325302	0.156582	-0.086695	0.792137	0.660209	0.158823	-0.270742	-0.156516	0.154671	0.146314	0.092802	0.445446	0.318286	-0.471185	-0.041406	0.070773	0.034817	-0.257693	0.274451	0.086207	-0.107213
X8	0.120637	-0.533810	0.378505	0.769590	0.112387	0.136412	0.120815	1.000000	-0.107118	0.537276	0.096533	0.460175	0.208476	0.120815	-0.072048	0.600081	0.997268	0.120815	0.194170	0.015900	-0.059895	0.073314	0.184857	0.183956	0.354648	0.590334	0.048801	0.066608	-0.048181	-0.320500	0.179833	-0.203506	0.540579	0.523922	0.072676	-0.157469	0.076046	0.466915	0.119516	0.663094	-0.046971	0.128440	0.020433	0.013969	0.103306	0.732766	0.027506	0.068804	0.075869	0.857379	-0.450076	-0.203238	0.085445	0.073375	0.097204	0.090247	-0.023399	-0.103591	-0.100015	0.030120	0.039132	-0.240874	0.571030	-0.052979	-0.041136
X9	0.170008	0.117662	0.064023	-0.072803	0.031271	-0.141316	0.175360	-0.107118	1.000000	-0.086288	0.226819	0.054409	-0.095409	0.175360	0.005606	0.046747	-0.112539	0.175360	0.004503	-0.275656	0.056424	0.195285	0.014183	0.145589	-0.149174	0.046323	0.070327	0.093226	-0.440761	-0.216628	-0.011560	-0.220100	0.292109	0.465259	0.178163	0.830368	-0.042917	-0.188139	0.001354	-0.070048	-0.022695	-0.009146	-0.356327	-0.245111	0.071459	-0.059340	-0.244302	0.149826	0.090330	-0.040430	0.225641	-0.219916	0.093363	0.092646	-0.084169	-0.002483	0.119693	0.016543	-0.053517	0.172086	0.237922	-0.255156	0.279757	0.289867	0.005927
X10	0.341073	-0.984867	0.682212	0.467311	0.143278	0.363369	0.338861	0.537276	-0.086288	1.000000	0.287475	0.337848	0.335659	0.338861	-0.099709	0.385388	0.532847	0.338861	0.351256	-0.026593	-0.081495	0.254879	0.346260	0.412996	0.759377	0.373975	0.064183	0.145237	0.017462	-0.501986	0.315322	-0.366765	0.420131	0.377408	0.245444	-0.134129	0.094928	0.846144	0.261503	0.351509	-0.058210	0.270009	-0.034684	-0.024081	0.141846	0.436216	0.023016	0.213568	0.208630	0.502867	-0.813943	-0.367090	0.189462	0.160775	0.188905	0.215056	-0.084026	-0.242689	-0.175859	0.024673	0.023107	-0.468429	0.447634	-0.086181	-0.113847
X11	0.947552	-0.274413	0.322937	0.130769	0.048240	0.244639	0.966024	0.096533	0.226819	0.287475	1.000000	0.580443	0.624904	0.966024	-0.011526	0.485923	0.093830	0.966024	0.756447	-0.176186	0.211736	0.928038	0.740323	0.695316	0.306934	0.470084	0.161262	0.142895	-0.027605	-0.220142	0.725530	-0.149692	0.187971	0.210381	0.862489	0.218661	0.040045	0.248790	0.646605	0.096935	-0.028579	0.718667	-0.155279	-0.054709	0.312441	0.141114	-0.092441	0.803475	0.660557	0.139883	-0.224907	-0.148595	0.151257	0.145959	0.071970	0.440042	0.314300	-0.444618	-0.033388	0.070718	0.037227	-0.247580	0.264559	0.099631	-0.102442
X12	0.591114	-0.332468	0.305438	0.498241	0.084356	0.222323	0.600987	0.460175	0.054409	0.337848	0.580443	1.000000	0.528490	0.600987	-0.046073	0.855555	0.458170	0.600987	0.605262	-0.095125	0.098815	0.543194	0.590234	0.491164	0.294454	0.838947	0.156046	0.093430	0.002435	-0.207395	0.579147	-0.159597	0.438095	0.372761	0.508723	0.026039	0.052688	0.310631	0.499124	0.388666	-0.034201	0.552215	-0.093919	-0.043722	0.252432	0.469581	-0.032939	0.466294	0.481941	0.462410	-0.301951	-0.158894	0.101555	0.094713	0.084919	0.349850	0.182574	-0.363122	-0.039694	0.042516	0.085235	-0.211569	0.561834	0.014027	-0.072877
X13	0.656002	-0.332292	0.237258	0.194754	0.041301	0.260100	0.659124	0.208476	-0.095409	0.335659	0.624904	0.528490	1.000000	0.659124	-0.005645	0.527161	0.210237	0.659124	0.869066	-0.080599	0.119900	0.561021	0.853543	0.476282	0.336048	0.523502	0.105836	0.051962	0.137672	-0.117807	0.848469	0.034729	0.033416	0.026441	0.513772	-0.147625	0.051774	0.340016	0.666275	0.171104	-0.028219	0.769321	0.002578	0.078539	0.270870	0.205411	0.091699	0.304683	0.434281	0.176834	-0.332796	0.038409	0.060994	0.057164	0.118158	0.606560	0.178758	-0.644938	-0.000288	0.013393	-0.035161	-0.147773	0.130409	-0.053609	-0.136480
X14	0.984154	-0.331751	0.346800	0.146930	0.051634	0.289014	1.000000	0.120815	0.175360	0.338861	0.966024	0.600987	0.659124	1.000000	-0.008627	0.507928	0.119164	1.000000	0.789237	-0.170266	0.211083	0.915076	0.773646	0.726170	0.365807	0.492184	0.171689	0.143299	0.018115	-0.235752	0.749396	-0.157729	0.197523	0.198079	0.851785	0.188980	0.046428	0.290410	0.652831	0.108809	-0.023492	0.723523	-0.146517	-0.047883	0.325302	0.156582	-0.086695	0.792137	0.660209	0.158823	-0.270742	-0.156516	0.154671	0.146314	0.092802	0.445446	0.318286	-0.471185	-0.041406	0.070773	0.034817	-0.257693	0.274451	0.086207	-0.107213
X15	-0.001975	0.102200	-0.069371	-0.059981	-0.052038	-0.026543	-0.008627	-0.072048	0.005606	-0.099709	-0.011526	-0.046073	-0.005645	-0.008627	1.000000	-0.058803	-0.072594	-0.008627	0.020292	0.008223	0.007969	-0.016554	0.026286	-0.038080	-0.065868	-0.056207	-0.006596	-0.023891	0.032476	0.064936	0.025471	0.064528	-0.057857	-0.048822	-0.014939	0.004214	-0.015930	-0.077808	0.011590	-0.048560	0.174828	0.017786	0.013720	0.011660	-0.009579	-0.056580	0.009844	0.009877	0.038381	-0.069976	0.078958	0.063499	-0.025011	-0.024960	-0.005143	0.015121	0.007143	-0.014184	0.053485	0.004283	-0.012867	0.061026	-0.061076	0.008871	0.017705
X16	0.501202	-0.382716	0.324299	0.514124	0.074663	0.219485	0.507928	0.600081	0.046747	0.385388	0.485923	0.855555	0.527161	0.507928	-0.058803	1.000000	0.599092	0.507928	0.488690	-0.090952	0.071448	0.443924	0.477191	0.435450	0.303881	0.994752	0.137854	0.095462	-0.022532	-0.241786	0.470585	-0.148792	0.433396	0.438302	0.421770	0.017009	0.063519	0.332513	0.398777	0.411982	-0.049272	0.432558	-0.090784	-0.043190	0.230891	0.490962	0.003833	0.276307	0.279251	0.581364	-0.319363	-0.147915	0.109717	0.100312	0.080538	0.357530	0.135125	-0.371792	-0.073486	0.046527	0.089138	-0.220562	0.556358	0.001111	-0.074012
X17	0.118840	-0.537905	0.376594	0.766529	0.112227	0.143081	0.119164	0.997268	-0.112539	0.532847	0.093830	0.458170	0.210237	0.119164	-0.072594	0.599092	1.000000	0.119164	0.193826	0.017254	-0.059304	0.071879	0.184211	0.181977	0.357730	0.589161	0.046924	0.063983	-0.036609	-0.323001	0.178486	-0.204743	0.538325	0.509329	0.071591	-0.160075	0.079859	0.461168	0.118833	0.662872	-0.047844	0.127274	0.019845	0.011884	0.101660	0.730649	0.026765	0.067898	0.072869	0.855329	-0.453129	-0.204372	0.082148	0.069994	0.103209	0.083743	-0.024307	-0.096988	-0.100444	0.028915	0.039186	-0.241153	0.567839	-0.054958	-0.040886
X18	0.984154	-0.331751	0.346800	0.146930	0.051634	0.289014	1.000000	0.120815	0.175360	0.338861	0.966024	0.600987	0.659124	1.000000	-0.008627	0.507928	0.119164	1.000000	0.789237	-0.170266	0.211083	0.915076	0.773646	0.726170	0.365807	0.492184	0.171689	0.143299	0.018115	-0.235752	0.749396	-0.157729	0.197523	0.198079	0.851785	0.188980	0.046428	0.290410	0.652831	0.108809	-0.023492	0.723523	-0.146517	-0.047883	0.325302	0.156582	-0.086695	0.792137	0.660209	0.158823	-0.270742	-0.156516	0.154671	0.146314	0.092802	0.445446	0.318286	-0.471185	-0.041406	0.070773	0.034817	-0.257693	0.274451	0.086207	-0.107213
X19	0.779537	-0.345551	0.305992	0.200856	0.066802	0.312922	0.789237	0.194170	0.004503	0.351256	0.756447	0.605262	0.869066	0.789237	0.020292	0.488690	0.193826	0.789237	1.000000	-0.140470	0.150872	0.698122	0.981157	0.580188	0.377536	0.473950	0.124717	0.096599	0.097059	-0.235806	0.956038	-0.095279	0.095966	0.091156	0.638117	-0.019830	0.063458	0.314724	0.777059	0.170229	0.003192	0.890783	-0.064781	0.039418	0.304195	0.212819	-0.033189	0.612143	0.781283	0.194301	-0.297519	-0.092660	0.105482	0.100129	0.134086	0.524531	0.237520	-0.564933	-0.010379	0.028838	-0.017453	-0.236481	0.177486	0.007282	-0.124087
X20	-0.161658	0.025926	0.079079	0.071717	-0.061578	-0.074897	-0.170266	0.015900	-0.275656	-0.026593	-0.176186	-0.095125	-0.080599	-0.170266	0.008223	-0.090952	0.017254	-0.170266	-0.140470	1.000000	-0.089398	-0.172880	-0.140748	-0.158669	-0.036040	-0.086097	-0.030347	0.013149	0.101444	0.230039	-0.119348	0.241723	-0.171653	-0.143270	-0.155656	-0.341434	-0.015673	-0.014738	-0.119603	-0.052081	0.011023	-0.137378	0.704790	0.062138	-0.133898	-0.082512	0.869894	-0.128464	-0.160984	0.045682	0.012312	0.238148	0.010767	0.014247	0.035487	-0.041910	-0.073930	0.045446	0.002128	-0.204803	-0.023306	0.309251	-0.171284	-0.048349	0.040883
X21	0.207217	0.079506	-0.031975	-0.058890	-0.002850	-0.047742	0.211083	-0.059895	0.056424	-0.081495	0.211736	0.098815	0.119900	0.211083	0.007969	0.071448	-0.059304	0.211083	0.150872	-0.089398	1.000000	0.208071	0.153045	-0.015642	-0.061372	0.069547	0.006715	0.005696	0.061496	0.017899	0.149177	-0.001497	-0.013094	-0.021251	0.204715	0.091508	-0.003248	-0.049989	0.151816	-0.046854	-0.020509	0.153511	-0.068332	-0.013046	0.058351	-0.046941	-0.054649	0.174033	0.144523	-0.061130	0.052592	-0.002125	0.002581	0.006277	-0.001343	0.128758	0.103732	-0.115316	0.011451	0.020739	0.023387	-0.024656	0.005876	0.032597	0.000446
X22	0.892521	-0.249901	0.274316	0.099077	0.038551	0.262692	0.915076	0.073314	0.195285	0.254879	0.928038	0.543194	0.561021	0.915076	-0.016554	0.443924	0.071879	0.915076	0.698122	-0.172880	0.208071	1.000000	0.678518	0.659205	0.295271	0.424489	0.161143	0.115407	0.012815	-0.200729	0.605939	-0.148349	0.180972	0.178219	0.928149	0.219952	0.024073	0.223388	0.697126	0.068152	-0.040925	0.777543	-0.162372	-0.067761	0.297019	0.108432	-0.113799	0.880387	0.720185	0.108721	-0.205204	-0.147226	0.123108	0.117736	0.067470	0.384687	0.292985	-0.388192	-0.016941	0.067740	0.049115	-0.232779	0.243481	0.083424	-0.101976
X23	0.790411	-0.339619	0.297216	0.188521	0.065185	0.308486	0.773646	0.184857	0.014183	0.346260	0.740323	0.590234	0.853543	0.773646	0.026286	0.477191	0.184211	0.773646	0.981157	-0.140748	0.153045	0.678518	1.000000	0.570449	0.370094	0.472920	0.122951	0.091986	0.098818	-0.231419	0.943885	-0.096486	0.095895	0.092733	0.619680	-0.008330	0.057967	0.310081	0.755113	0.152891	0.009186	0.868016	-0.067352	0.036058	0.303873	0.197539	-0.029898	0.591606	0.760533	0.182437	-0.292007	-0.094483	0.100515	0.095562	0.125262	0.524323	0.235251	-0.563651	-0.004335	0.027532	-0.008727	-0.239486	0.176914	0.007386	-0.125478
X24	0.716112	-0.405196	0.400523	0.210027	0.067219	0.481201	0.726170	0.183956	0.145589	0.412996	0.695316	0.491164	0.476282	0.726170	-0.038080	0.435450	0.181977	0.726170	0.580188	-0.158669	-0.015642	0.659205	0.570449	1.000000	0.442096	0.423081	0.149997	0.143308	0.014045	-0.293127	0.544938	-0.203584	0.238040	0.222464	0.630417	0.149592	0.051887	0.336753	0.491981	0.161651	-0.031189	0.521249	-0.137641	-0.046174	0.236605	0.214680	-0.090931	0.569151	0.484856	0.227930	-0.317151	-0.201844	0.156880	0.145262	0.106640	0.338212	0.221289	-0.354410	-0.073089	0.067099	0.031550	-0.291644	0.297397	0.071541	-0.103893
X25	0.364312	-0.769793	0.529799	0.312134	0.083933	0.542555	0.365807	0.354648	-0.149174	0.759377	0.306934	0.294454	0.336048	0.365807	-0.065868	0.303881	0.357730	0.365807	0.377536	-0.036040	-0.061372	0.295271	0.370094	0.442096	1.000000	0.289785	0.046920	0.108939	0.225996	-0.392161	0.337020	-0.291533	0.255735	0.123067	0.294718	-0.119278	0.103513	0.647091	0.312354	0.236741	-0.044096	0.313241	-0.049766	-0.036519	0.122906	0.290657	0.002252	0.262481	0.267809	0.342260	-0.635082	-0.289037	0.142775	0.119503	0.206405	0.202416	-0.025542	-0.225031	-0.112342	-0.005332	-0.028379	-0.375635	0.284361	-0.071760	-0.116401
X26	0.496045	-0.370868	0.308148	0.499461	0.070294	0.213771	0.492184	0.590334	0.046323	0.373975	0.470084	0.838947	0.523502	0.492184	-0.056207	0.994752	0.589161	0.492184	0.473950	-0.086097	0.069547	0.424489	0.472920	0.423081	0.289785	1.000000	0.132523	0.087565	-0.020053	-0.231532	0.461747	-0.141169	0.422342	0.428048	0.403350	0.016794	0.059495	0.323713	0.381434	0.390804	-0.046546	0.414300	-0.086764	-0.042047	0.224391	0.471543	0.012802	0.249959	0.254373	0.564663	-0.310615	-0.140310	0.101478	0.092401	0.075008	0.359761	0.134179	-0.373579	-0.070329	0.043167	0.091675	-0.213775	0.546661	-0.002778	-0.073977
X27	0.170086	-0.059193	0.082059	0.061108	0.050202	-0.000078	0.171689	0.048801	0.070327	0.064183	0.161262	0.156046	0.105836	0.171689	-0.006596	0.137854	0.046924	0.171689	0.124717	-0.030347	0.006715	0.161143	0.122951	0.149997	0.046920	0.132523	1.000000	0.078552	-0.042271	-0.048928	0.110221	-0.023263	0.086657	0.116350	0.147812	0.050696	-0.008218	0.045426	0.103926	0.044061	-0.008938	0.117552	-0.017904	0.003017	0.089034	0.059945	-0.015568	0.138946	0.105493	0.061784	-0.043092	-0.022978	0.078997	0.075773	-0.004498	0.070865	0.071889	-0.080925	-0.016006	0.056365	-0.006894	-0.037173	0.103860	0.091074	-0.007508
X28	0.135103	-0.136738	0.363976	0.160979	0.049082	0.020090	0.143299	0.066608	0.093226	0.145237	0.142895	0.093430	0.051962	0.143299	-0.023891	0.095462	0.063983	0.143299	0.096599	0.013149	0.005696	0.115407	0.091986	0.143308	0.108939	0.087565	0.078552	1.000000	-0.166199	-0.140682	0.092522	-0.080465	0.092746	0.136463	0.108958	0.071717	0.001991	0.100740	0.064252	0.138236	-0.022531	0.071370	0.057439	0.068588	0.068457	0.163602	0.030010	0.122919	0.094942	0.179765	-0.091334	-0.080212	0.982610	0.991544	0.004724	0.068316	0.015151	-0.074412	-0.043113	0.042841	-0.028024	-0.105184	0.106882	0.673228	0.004144
X29	0.027611	-0.064761	-0.156718	-0.104894	-0.027516	0.263489	0.018115	-0.048181	-0.440761	0.017462	-0.027605	0.002435	0.137672	0.018115	0.032476	-0.022532	-0.036609	0.018115	0.097059	0.101444	0.061496	0.012815	0.098818	0.014045	0.225996	-0.020053	-0.042271	-0.166199	1.000000	0.139970	0.083081	0.088098	-0.214087	-0.394014	0.065799	-0.327182	0.149464	0.085812	0.172906	-0.100442	0.003673	0.114914	0.096997	0.042180	-0.040618	-0.118708	0.098926	0.021197	0.047085	-0.122260	-0.125667	0.096273	-0.161471	-0.166748	0.321380	0.101629	-0.021594	-0.084054	0.062127	-0.120915	-0.144020	0.091397	-0.197580	-0.199688	-0.028479
X30	-0.227222	0.507255	-0.471649	-0.321451	-0.169381	-0.213043	-0.235752	-0.320500	-0.216628	-0.501986	-0.220142	-0.207395	-0.117807	-0.235752	0.064936	-0.241786	-0.323001	-0.235752	-0.235806	0.230039	0.017899	-0.200729	-0.231419	-0.293127	-0.392161	-0.231532	-0.048928	-0.140682	0.139970	1.000000	-0.171033	0.617775	-0.311049	-0.278361	-0.192620	-0.265066	-0.082439	-0.273842	-0.153167	-0.306658	0.058463	-0.138922	0.329678	0.250016	-0.094292	-0.325082	0.167112	-0.158400	-0.210583	-0.372010	0.258572	0.613015	-0.161852	-0.142475	-0.126108	-0.111528	-0.028721	0.131444	0.151887	-0.056986	-0.084962	0.722873	-0.321517	-0.080587	0.060678
X31	0.746461	-0.306043	0.280858	0.192607	0.060855	0.263225	0.749396	0.179833	-0.011560	0.315322	0.725530	0.579147	0.848469	0.749396	0.025471	0.470585	0.178486	0.749396	0.956038	-0.119348	0.149177	0.605939	0.943885	0.544938	0.337020	0.461747	0.110221	0.092522	0.083081	-0.171033	1.000000	-0.058654	0.069355	0.076725	0.553071	-0.043848	0.053230	0.302547	0.682000	0.161889	0.019918	0.789545	-0.037002	0.058868	0.282259	0.202366	-0.002073	0.521268	0.677853	0.179460	-0.283910	-0.056594	0.097440	0.096416	0.121133	0.533957	0.231133	-0.559453	0.003076	0.022423	-0.026621	-0.194818	0.158085	0.001750	-0.112064
X32	-0.151778	0.372884	-0.408581	-0.233445	-0.180707	-0.176797	-0.157729	-0.203506	-0.220100	-0.366765	-0.149692	-0.159597	0.034729	-0.157729	0.064528	-0.148792	-0.204743	-0.157729	-0.095279	0.241723	-0.001497	-0.148349	-0.096486	-0.203584	-0.291533	-0.141169	-0.023263	-0.080465	0.088098	0.617775	-0.058654	1.000000	-0.351837	-0.250424	-0.126132	-0.274376	-0.024934	-0.368053	-0.028504	-0.161200	0.065391	-0.043247	0.370443	0.296509	-0.052744	-0.216763	0.304529	-0.175652	-0.156469	-0.218368	0.378906	0.988365	-0.085523	-0.081139	-0.114402	0.123568	-0.007804	-0.079790	0.023829	-0.054264	-0.107239	0.833033	-0.341566	-0.044201	0.062183
X33	0.193790	-0.417148	0.416420	0.636251	0.117114	0.102835	0.197523	0.540579	0.292109	0.420131	0.187971	0.438095	0.033416	0.197523	-0.057857	0.433396	0.538325	0.197523	0.095966	-0.171653	-0.013094	0.180972	0.095895	0.238040	0.255735	0.422342	0.086657	0.092746	-0.214087	-0.311049	0.069355	-0.351837	1.000000	0.771293	0.160644	0.324564	0.018966	0.411438	0.053060	0.456686	-0.057400	0.068626	-0.251657	-0.194514	0.097631	0.587315	-0.171760	0.161692	0.110599	0.560875	-0.414247	-0.351737	0.097863	0.095071	0.037193	-0.041738	0.019723	0.031505	-0.061193	0.121204	0.230762	-0.385489	0.977580	0.048462	-0.026601
X34	0.194526	-0.343339	0.374208	0.502952	0.106909	-0.064578	0.198079	0.523922	0.465259	0.377408	0.210381	0.372761	0.026441	0.198079	-0.048822	0.438302	0.509329	0.198079	0.091156	-0.143270	-0.021251	0.178219	0.092733	0.222464	0.123067	0.428048	0.116350	0.136463	-0.394014	-0.278361	0.076725	-0.250424	0.771293	1.000000	0.155732	0.334549	-0.019507	0.292560	0.044246	0.368612	-0.039365	0.058925	-0.188784	-0.132440	0.109825	0.465457	-0.133603	0.157179	0.104672	0.570260	-0.252769	-0.250748	0.152165	0.143277	-0.054731	0.003541	0.029567	-0.006775	-0.092777	0.133665	0.185405	-0.280826	0.760005	0.109030	-0.009121
X35	0.830574	-0.242112	0.265169	0.097699	0.028888	0.270796	0.851785	0.072676	0.178163	0.245444	0.862489	0.508723	0.513772	0.851785	-0.014939	0.421770	0.071591	0.851785	0.638117	-0.155656	0.204715	0.928149	0.619680	0.630417	0.294718	0.403350	0.147812	0.108958	0.065799	-0.192620	0.553071	-0.126132	0.160644	0.155732	1.000000	0.205008	0.031244	0.220358	0.788337	0.065235	-0.023526	0.705861	-0.154244	-0.072333	0.279908	0.105593	-0.079446	0.813454	0.653362	0.107634	-0.197781	-0.125475	0.118897	0.112400	0.069802	0.472122	0.278966	-0.407853	-0.016876	0.062239	0.037013	-0.226443	0.233841	0.079123	-0.107934
X36	0.182025	0.140063	0.023969	-0.118119	0.023788	-0.013830	0.188980	-0.157469	0.830368	-0.134129	0.218661	0.026039	-0.147625	0.188980	0.004214	0.017009	-0.160075	0.188980	-0.019830	-0.341434	0.091508	0.219952	-0.008330	0.149592	-0.119278	0.016794	0.050696	0.071717	-0.327182	-0.265066	-0.043848	-0.274376	0.324564	0.334549	0.205008	1.000000	-0.026559	-0.257570	-0.020406	-0.108749	-0.036559	-0.035072	-0.444162	-0.307548	0.056027	-0.101225	-0.310299	0.172739	0.098540	-0.075366	0.281406	-0.273975	0.069573	0.067703	-0.071462	-0.053276	0.145098	0.062632	-0.062778	0.174543	0.309272	-0.307253	0.300347	0.294175	0.024921
X37	0.042977	-0.102419	0.075075	0.062942	0.019834	0.089502	0.046428	0.076046	-0.042917	0.094928	0.040045	0.052688	0.051774	0.046428	-0.015930	0.063519	0.079859	0.046428	0.063458	-0.015673	-0.003248	0.024073	0.057967	0.051887	0.103513	0.059495	-0.008218	0.001991	0.149464	-0.082439	0.053230	-0.024934	0.018966	-0.019507	0.031244	-0.026559	1.000000	0.032714	0.047602	0.056628	-0.016079	0.040771	0.009265	0.027603	0.010566	0.068879	-0.007887	0.028554	0.039869	0.084394	-0.042459	-0.025000	0.006579	0.000627	0.176645	0.031096	0.034208	-0.031037	-0.051360	0.004600	-0.033631	-0.032741	0.026203	-0.006252	-0.010766
X38	0.296528	-0.826788	0.645497	0.452268	0.141118	0.302880	0.290410	0.466915	-0.188139	0.846144	0.248790	0.310631	0.340016	0.290410	-0.077808	0.332513	0.461168	0.290410	0.314724	-0.014738	-0.049989	0.223388	0.310081	0.336753	0.647091	0.323713	0.045426	0.100740	0.085812	-0.273842	0.302547	-0.368053	0.411438	0.292560	0.220358	-0.257570	0.032714	1.000000	0.262334	0.332849	-0.035460	0.268042	-0.027050	-0.024359	0.125893	0.418358	0.031527	0.182421	0.170041	0.412326	-0.960162	-0.366889	0.123110	0.120858	0.194105	0.216315	-0.105864	-0.228698	0.023000	0.011299	0.020229	-0.471012	0.437701	-0.166987	-0.122232
X39	0.637947	-0.259108	0.223285	0.132201	0.033416	0.298316	0.652831	0.119516	0.001354	0.261503	0.646605	0.499124	0.666275	0.652831	0.011590	0.398777	0.118833	0.652831	0.777059	-0.119603	0.151816	0.697126	0.755113	0.491981	0.312354	0.381434	0.103926	0.064252	0.172906	-0.153167	0.682000	-0.028504	0.053060	0.044246	0.788337	-0.020406	0.047602	0.262334	1.000000	0.102721	0.004759	0.858363	-0.093557	-0.020462	0.240206	0.140500	-0.006619	0.616883	0.754431	0.122765	-0.239210	-0.028628	0.077431	0.069153	0.108076	0.615381	0.189927	-0.525344	0.019737	0.017339	-0.013413	-0.191004	0.136460	-0.003984	-0.130252
X40	0.100669	-0.349024	0.402004	0.841698	0.119281	0.068242	0.108809	0.663094	-0.070048	0.351509	0.096935	0.388666	0.171104	0.108809	-0.048560	0.411982	0.662872	0.108809	0.170229	-0.052081	-0.046854	0.068152	0.152891	0.161651	0.236741	0.390804	0.044061	0.138236	-0.100442	-0.306658	0.161889	-0.161200	0.456686	0.368612	0.065235	-0.108749	0.056628	0.332849	0.102721	1.000000	-0.029949	0.112340	-0.062827	-0.039985	0.096725	0.899981	-0.031899	0.069257	0.077843	0.765520	-0.334659	-0.160945	0.143989	0.139992	0.085162	0.085734	-0.002882	-0.097232	-0.052357	0.043700	0.056197	-0.190079	0.489535	0.000451	-0.027898
X41	-0.016003	0.062119	-0.050446	-0.038622	-0.030000	-0.017844	-0.023492	-0.046971	-0.022695	-0.058210	-0.028579	-0.034201	-0.028219	-0.023492	0.174828	-0.049272	-0.047844	-0.023492	0.003192	0.011023	-0.020509	-0.040925	0.009186	-0.031189	-0.044096	-0.046546	-0.008938	-0.022531	0.003673	0.058463	0.019918	0.065391	-0.057400	-0.039365	-0.023526	-0.036559	-0.016079	-0.035460	0.004759	-0.029949	1.000000	-0.018134	0.017068	0.013767	-0.015821	-0.036518	0.027801	-0.006101	0.015592	-0.047694	0.032124	0.064506	-0.019868	-0.020900	-0.004838	0.078908	-0.010702	-0.058259	0.049789	-0.011455	-0.009138	0.051660	-0.051072	-0.017192	-0.013366
X42	0.707970	-0.265636	0.232133	0.141232	0.044679	0.295083	0.723523	0.128440	-0.009146	0.270009	0.718667	0.552215	0.769321	0.723523	0.017786	0.432558	0.127274	0.723523	0.890783	-0.137378	0.153511	0.777543	0.868016	0.521249	0.313241	0.414300	0.117552	0.071370	0.114914	-0.138922	0.789545	-0.043247	0.068626	0.058925	0.705861	-0.035072	0.040771	0.268042	0.858363	0.112340	-0.018134	1.000000	-0.064277	0.037253	0.269250	0.151375	-0.050268	0.691434	0.872736	0.129028	-0.253189	-0.042631	0.074033	0.074786	0.108280	0.490265	0.208512	-0.504091	0.027078	0.021986	-0.010771	-0.170977	0.139691	-0.005608	-0.124610
X43	-0.138426	0.039327	0.135693	0.093330	-0.008093	-0.075955	-0.146517	0.020433	-0.356327	-0.034684	-0.155279	-0.093919	0.002578	-0.146517	0.013720	-0.090784	0.019845	-0.146517	-0.064781	0.704790	-0.068332	-0.162372	-0.067352	-0.137641	-0.049766	-0.086764	-0.017904	0.057439	0.096997	0.329678	-0.037002	0.370443	-0.251657	-0.188784	-0.154244	-0.444162	0.009265	-0.027050	-0.093557	-0.062827	0.017068	-0.064277	1.000000	0.751839	-0.048942	0.026918	0.616114	-0.106007	-0.114296	0.072155	0.035475	0.364510	0.042910	0.056359	0.069027	-0.025471	-0.071588	0.010579	0.006118	-0.128495	-0.275446	0.445725	-0.246595	-0.034503	0.029202
X44	-0.044501	0.031232	0.117406	0.064649	0.045846	-0.037250	-0.047883	0.013969	-0.245111	-0.024081	-0.054709	-0.043722	0.078539	-0.047883	0.011660	-0.043190	0.011884	-0.047883	0.039418	0.062138	-0.013046	-0.067761	0.036058	-0.046174	-0.036519	-0.042047	0.003017	0.068588	0.042180	0.250016	0.058868	0.296509	-0.194514	-0.132440	-0.072333	-0.307548	0.027603	-0.024359	-0.020462	-0.039985	0.013767	0.037253	0.751839	1.000000	0.055592	0.114559	0.058304	-0.029742	-0.011179	0.059055	0.038466	0.291484	0.050361	0.066049	0.064131	0.003117	-0.032004	-0.027355	0.006630	0.009571	-0.365859	0.339659	-0.187736	-0.003606	0.003087
X45	0.325824	-0.138075	0.121206	0.087062	0.035266	0.063884	0.325302	0.103306	0.071459	0.141846	0.312441	0.252432	0.270870	0.325302	-0.009579	0.230891	0.101660	0.325302	0.304195	-0.133898	0.058351	0.297019	0.303873	0.236605	0.122906	0.224391	0.089034	0.068457	-0.040618	-0.094292	0.282259	-0.052744	0.097631	0.109825	0.279908	0.056027	0.010566	0.125893	0.240206	0.096725	-0.015821	0.269250	-0.048942	0.055592	1.000000	0.133705	-0.103685	0.258245	0.230072	0.092264	-0.118690	-0.052062	0.071187	0.068957	0.019011	0.170952	0.107990	-0.186100	-0.004941	0.525395	0.029304	-0.087322	0.127526	0.063310	-0.029971
X46	0.148861	-0.430831	0.512181	0.942957	0.147023	0.099976	0.156582	0.732766	-0.059340	0.436216	0.141114	0.469581	0.205411	0.156582	-0.056580	0.490962	0.730649	0.156582	0.212819	-0.082512	-0.046941	0.108432	0.197539	0.214680	0.290657	0.471543	0.059945	0.163602	-0.118708	-0.325082	0.202366	-0.216763	0.587315	0.465457	0.105593	-0.101225	0.068879	0.418358	0.140500	0.899981	-0.036518	0.151375	0.026918	0.114559	0.133705	1.000000	-0.049974	0.102169	0.114707	0.845806	-0.418336	-0.216314	0.169695	0.165717	0.109741	0.118697	0.002391	-0.131392	-0.055777	0.067932	-0.035039	-0.258274	0.625735	0.009015	-0.052050
X47	-0.075709	-0.018458	0.120881	0.094537	-0.053729	-0.043374	-0.086695	0.027506	-0.244302	0.023016	-0.092441	-0.032939	0.091699	-0.086695	0.009844	0.003833	0.026765	-0.086695	-0.033189	0.869894	-0.054649	-0.113799	-0.029898	-0.090931	0.002252	0.012802	-0.015568	0.030010	0.098926	0.167112	-0.002073	0.304529	-0.171760	-0.133603	-0.079446	-0.310299	-0.007887	0.031527	-0.006619	-0.031899	0.027801	-0.050268	0.616114	0.058304	-0.103685	-0.049974	1.000000	-0.169866	-0.162110	0.060726	-0.032897	0.312199	0.029256	0.031724	0.050733	0.235917	-0.045895	-0.219553	0.000280	-0.181342	-0.022982	0.223727	-0.132514	-0.041701	0.007001
X48	0.768844	-0.210385	0.247595	0.092559	0.043023	0.237477	0.792137	0.068804	0.149826	0.213568	0.803475	0.466294	0.304683	0.792137	0.009877	0.276307	0.067898	0.792137	0.612143	-0.128464	0.174033	0.880387	0.591606	0.569151	0.262481	0.249959	0.138946	0.122919	0.021197	-0.158400	0.521268	-0.175652	0.161692	0.157179	0.813454	0.172739	0.028554	0.182421	0.616883	0.069257	-0.006101	0.691434	-0.106007	-0.029742	0.258245	0.102169	-0.169866	1.000000	0.825081	0.102344	-0.165900	-0.176037	0.127624	0.123492	0.065406	0.169690	0.256918	-0.174724	-0.009081	0.060139	0.021738	-0.175223	0.188826	0.101496	-0.063904
X49	0.641447	-0.203276	0.233354	0.106030	0.056352	0.270398	0.660209	0.075869	0.090330	0.208630	0.660557	0.481941	0.434281	0.660209	0.038381	0.279251	0.072869	0.660209	0.781283	-0.160984	0.144523	0.720185	0.760533	0.484856	0.267809	0.254373	0.105493	0.094942	0.047085	-0.210583	0.677853	-0.156469	0.110599	0.104672	0.653362	0.098540	0.039869	0.170041	0.754431	0.077843	0.015592	0.872736	-0.114296	-0.011179	0.230072	0.114707	-0.162110	0.825081	1.000000	0.107575	-0.149511	-0.157244	0.096181	0.095809	0.093939	0.278082	0.210171	-0.290390	0.013769	0.031129	0.010409	-0.208364	0.147321	0.054850	-0.080055
X50	0.152423	-0.500252	0.541912	0.891431	0.129221	0.132106	0.158823	0.857379	-0.040430	0.502867	0.139883	0.462410	0.176834	0.158823	-0.069976	0.581364	0.855329	0.158823	0.194301	0.045682	-0.061130	0.108721	0.182437	0.227930	0.342260	0.564663	0.061784	0.179765	-0.122260	-0.372010	0.179460	-0.218368	0.560875	0.570260	0.107634	-0.075366	0.084394	0.412326	0.122765	0.765520	-0.047694	0.129028	0.072155	0.059055	0.092264	0.845806	0.060726	0.102344	0.107575	1.000000	-0.394213	-0.218133	0.197029	0.185405	0.111460	0.100560	-0.005075	-0.112146	-0.108012	0.021574	-0.013172	-0.257035	0.594003	0.023481	-0.038365
X51	-0.276578	0.823765	-0.645962	-0.452672	-0.146291	-0.304694	-0.270742	-0.450076	0.225641	-0.813943	-0.224907	-0.301951	-0.332796	-0.270742	0.078958	-0.319363	-0.453129	-0.270742	-0.297519	0.012312	0.052592	-0.205204	-0.292007	-0.317151	-0.635082	-0.310615	-0.043092	-0.091334	-0.125667	0.258572	-0.283910	0.378906	-0.414247	-0.252769	-0.197781	0.281406	-0.042459	-0.960162	-0.239210	-0.334659	0.032124	-0.253189	0.035475	0.038466	-0.118690	-0.418336	-0.032897	-0.165900	-0.149511	-0.394213	1.000000	0.377408	-0.103459	-0.100022	-0.209870	-0.197874	0.120185	0.215168	-0.021983	-0.009568	-0.023255	0.479716	-0.438540	0.183722	0.111107
X52	-0.150625	0.372251	-0.407498	-0.233326	-0.177488	-0.174936	-0.156516	-0.203238	-0.219916	-0.367090	-0.148595	-0.158894	0.038409	-0.156516	0.063499	-0.147915	-0.204372	-0.156516	-0.092660	0.238148	-0.002125	-0.147226	-0.094483	-0.201844	-0.289037	-0.140310	-0.022978	-0.080212	0.096273	0.613015	-0.056594	0.988365	-0.351737	-0.250748	-0.125475	-0.273975	-0.025000	-0.366889	-0.028628	-0.160945	0.064506	-0.042631	0.364510	0.291484	-0.052062	-0.216314	0.312199	-0.176037	-0.157244	-0.218133	0.377408	1.000000	-0.085456	-0.080843	-0.114152	0.126098	-0.005959	-0.082203	0.022853	-0.054138	-0.106477	0.827411	-0.340719	-0.043913	0.047375
X53	0.146644	-0.178161	0.361399	0.167319	0.049437	0.036877	0.154671	0.085445	0.093363	0.189462	0.151257	0.101555	0.060994	0.154671	-0.025011	0.109717	0.082148	0.154671	0.105482	0.010767	0.002581	0.123108	0.100515	0.156880	0.142775	0.101478	0.078997	0.982610	-0.161471	-0.161852	0.097440	-0.085523	0.097863	0.152165	0.118897	0.069573	0.006579	0.123110	0.077431	0.143989	-0.019868	0.074033	0.042910	0.050361	0.071187	0.169695	0.029256	0.127624	0.096181	0.197029	-0.103459	-0.085456	1.000000	0.990829	0.004693	0.079881	0.018483	-0.083334	-0.056814	0.041113	-0.024619	-0.115833	0.113192	0.645482	-0.002556
X54	0.138430	-0.148968	0.362957	0.163325	0.049012	0.022901	0.146314	0.073375	0.092646	0.160775	0.145959	0.094713	0.057164	0.146314	-0.024960	0.100312	0.069994	0.146314	0.100129	0.014247	0.006277	0.117736	0.095562	0.145262	0.119503	0.092401	0.075773	0.991544	-0.166748	-0.142475	0.096416	-0.081139	0.095071	0.143277	0.112400	0.067703	0.000627	0.120858	0.069153	0.139992	-0.020900	0.074786	0.056359	0.066049	0.068957	0.165717	0.031724	0.123492	0.095809	0.185405	-0.100022	-0.080843	0.990829	1.000000	0.003488	0.073455	0.016984	-0.078250	-0.040983	0.040888	-0.026700	-0.107584	0.109490	0.651367	0.000160
X55	0.087559	-0.207182	0.237150	0.114699	0.048156	0.178520	0.092802	0.097204	-0.084169	0.188905	0.071970	0.084919	0.118158	0.092802	-0.005143	0.080538	0.103209	0.092802	0.134086	0.035487	-0.001343	0.067470	0.125262	0.106640	0.206405	0.075008	-0.004498	0.004724	0.321380	-0.126108	0.121133	-0.114402	0.037193	-0.054731	0.069802	-0.071462	0.176645	0.194105	0.108076	0.085162	-0.004838	0.108280	0.069027	0.064131	0.019011	0.109741	0.050733	0.065406	0.093939	0.111460	-0.209870	-0.114152	0.004693	0.003488	1.000000	0.094601	-0.005286	-0.097679	-0.004429	-0.025431	-0.050545	-0.143918	0.050661	-0.031648	-0.034508
X56	0.449324	-0.196439	0.207939	0.121487	0.006689	0.152877	0.445446	0.090247	-0.002483	0.215056	0.440042	0.349850	0.606560	0.445446	0.015121	0.357530	0.083743	0.445446	0.524531	-0.041910	0.128758	0.384687	0.524323	0.338212	0.202416	0.359761	0.070865	0.068316	0.101629	-0.111528	0.533957	0.123568	-0.041738	0.003541	0.472122	-0.053276	0.031096	0.216315	0.615381	0.085734	0.078908	0.490265	-0.025471	0.003117	0.170952	0.118697	0.235917	0.169690	0.278082	0.100560	-0.197874	0.126098	0.079881	0.073455	0.094601	1.000000	0.123507	-0.903677	0.011249	-0.002853	-0.021203	-0.157886	0.097176	-0.010093	-0.071444
X57	0.315941	0.088669	-0.028613	-0.006392	-0.008600	0.056635	0.318286	-0.023399	0.119693	-0.084026	0.314300	0.182574	0.178758	0.318286	0.007143	0.135125	-0.024307	0.318286	0.237520	-0.073930	0.103732	0.292985	0.235251	0.221289	-0.025542	0.134179	0.071889	0.015151	-0.021594	-0.028721	0.231133	-0.007804	0.019723	0.029567	0.278966	0.145098	0.034208	-0.105864	0.189927	-0.002882	-0.010702	0.208512	-0.071588	-0.032004	0.107990	0.002391	-0.045895	0.256918	0.210171	-0.005075	0.120185	-0.005959	0.018483	0.016984	-0.005286	0.123507	1.000000	-0.118787	-0.076877	0.049452	0.016650	-0.016831	0.044817	0.070500	-0.026260
X58	-0.475262	0.224599	-0.229822	-0.132500	-0.021587	-0.165090	-0.471185	-0.103591	0.016543	-0.242689	-0.444618	-0.363122	-0.644938	-0.471185	-0.014184	-0.371792	-0.096988	-0.471185	-0.564933	0.045446	-0.115316	-0.388192	-0.563651	-0.354410	-0.225031	-0.373579	-0.080925	-0.074412	-0.084054	0.131444	-0.559453	-0.079790	0.031505	-0.006775	-0.407853	0.062632	-0.031037	-0.228698	-0.525344	-0.097232	-0.058259	-0.504091	0.010579	-0.027355	-0.186100	-0.131392	-0.219553	-0.174724	-0.290390	-0.112146	0.215168	-0.082203	-0.083334	-0.078250	-0.097679	-0.903677	-0.118787	1.000000	0.009756	0.002242	0.025119	0.165221	-0.100829	0.010259	0.067087
X59	-0.034502	0.176337	-0.083789	-0.057733	-0.022423	-0.015823	-0.041406	-0.100015	-0.053517	-0.175859	-0.033388	-0.039694	-0.000288	-0.041406	0.053485	-0.073486	-0.100444	-0.041406	-0.010379	0.002128	0.011451	-0.016941	-0.004335	-0.073089	-0.112342	-0.070329	-0.016006	-0.043113	0.062127	0.151887	0.003076	0.023829	-0.061193	-0.092777	-0.016876	-0.062778	-0.051360	0.023000	0.019737	-0.052357	0.049789	0.027078	0.006118	0.006630	-0.004941	-0.055777	0.000280	-0.009081	0.013769	-0.108012	-0.021983	0.022853	-0.056814	-0.040983	-0.004429	0.011249	-0.076877	0.009756	1.000000	-0.008030	-0.020692	0.015648	-0.062847	-0.048644	0.024642
X60	0.066428	-0.023733	0.017550	0.015583	0.026001	0.000157	0.070773	0.030120	0.172086	0.024673	0.070718	0.042516	0.013393	0.070773	0.004283	0.046527	0.028915	0.070773	0.028838	-0.204803	0.020739	0.067740	0.027532	0.067099	-0.005332	0.043167	0.056365	0.042841	-0.120915	-0.056986	0.022423	-0.054264	0.121204	0.133665	0.062239	0.174543	0.004600	0.011299	0.017339	0.043700	-0.011455	0.021986	-0.128495	0.009571	0.525395	0.067932	-0.181342	0.060139	0.031129	0.021574	-0.009568	-0.054138	0.041113	0.040888	-0.025431	-0.002853	0.049452	0.002242	-0.008030	1.000000	0.043818	-0.060081	0.117054	0.111451	-0.000638
X61	0.039612	-0.023462	-0.082474	-0.011547	0.006145	0.002925	0.034817	0.039132	0.237922	0.023107	0.037227	0.085235	-0.035161	0.034817	-0.012867	0.089138	0.039186	0.034817	-0.017453	-0.023306	0.023387	0.049115	-0.008727	0.031550	-0.028379	0.091675	-0.006894	-0.028024	-0.144020	-0.084962	-0.026621	-0.107239	0.230762	0.185405	0.037013	0.309272	-0.033631	0.020229	-0.013413	0.056197	-0.009138	-0.010771	-0.275446	-0.365859	0.029304	-0.035039	-0.022982	0.021738	0.010409	-0.013172	-0.023255	-0.106477	-0.024619	-0.026700	-0.050545	-0.021203	0.016650	0.025119	-0.020692	0.043818	1.000000	-0.117159	0.226683	0.010389	0.018258
X62	-0.253080	0.470506	-0.512818	-0.276752	-0.188597	-0.225042	-0.257693	-0.240874	-0.255156	-0.468429	-0.247580	-0.211569	-0.147773	-0.257693	0.061026	-0.220562	-0.241153	-0.257693	-0.236481	0.309251	-0.024656	-0.232779	-0.239486	-0.291644	-0.375635	-0.213775	-0.037173	-0.105184	0.091397	0.722873	-0.194818	0.833033	-0.385489	-0.280826	-0.226443	-0.307253	-0.032741	-0.471012	-0.191004	-0.190079	0.051660	-0.170977	0.445725	0.339659	-0.087322	-0.258274	0.223727	-0.175223	-0.208364	-0.257035	0.479716	0.827411	-0.115833	-0.107584	-0.143918	-0.157886	-0.016831	0.165221	0.015648	-0.060081	-0.117159	1.000000	-0.395384	-0.050209	0.086079
X63	0.271166	-0.442297	0.444299	0.675840	0.117527	0.123760	0.274451	0.571030	0.279757	0.447634	0.264559	0.561834	0.130409	0.274451	-0.061076	0.556358	0.567839	0.274451	0.177486	-0.171284	0.005876	0.243481	0.176914	0.297397	0.284361	0.546661	0.103860	0.106882	-0.197580	-0.321517	0.158085	-0.341566	0.977580	0.760005	0.233841	0.300347	0.026203	0.437701	0.136460	0.489535	-0.051072	0.139691	-0.246595	-0.187736	0.127526	0.625735	-0.132514	0.188826	0.147321	0.594003	-0.438540	-0.340719	0.113192	0.109490	0.050661	0.097176	0.044817	-0.100829	-0.062847	0.117054	0.226683	-0.395384	1.000000	0.047080	-0.045047
X64	0.077265	0.094726	0.155709	-0.000233	0.014869	-0.051797	0.086207	-0.052979	0.289867	-0.086181	0.099631	0.014027	-0.053609	0.086207	0.008871	0.001111	-0.054958	0.086207	0.007282	-0.048349	0.032597	0.083424	0.007386	0.071541	-0.071760	-0.002778	0.091074	0.673228	-0.199688	-0.080587	0.001750	-0.044201	0.048462	0.109030	0.079123	0.294175	-0.006252	-0.166987	-0.003984	0.000451	-0.017192	-0.005608	-0.034503	-0.003606	0.063310	0.009015	-0.041701	0.101496	0.054850	0.023481	0.183722	-0.043913	0.645482	0.651367	-0.031648	-0.010093	0.070500	0.010259	-0.048644	0.111451	0.010389	-0.050209	0.047080	1.000000	0.027309
Y	-0.110029	0.112857	-0.090460	-0.042040	-0.022826	-0.088975	-0.107213	-0.041136	0.005927	-0.113847	-0.102442	-0.072877	-0.136480	-0.107213	0.017705	-0.074012	-0.040886	-0.107213	-0.124087	0.040883	0.000446	-0.101976	-0.125478	-0.103893	-0.116401	-0.073977	-0.007508	0.004144	-0.028479	0.060678	-0.112064	0.062183	-0.026601	-0.009121	-0.107934	0.024921	-0.010766	-0.122232	-0.130252	-0.027898	-0.013366	-0.124610	0.029202	0.003087	-0.029971	-0.052050	0.007001	-0.063904	-0.080055	-0.038365	0.111107	0.047375	-0.002556	0.000160	-0.034508	-0.071444	-0.026260	0.067087	0.024642	-0.000638	0.018258	0.086079	-0.045047	0.027309	1.000000

--------------------------------------------------------------------------
For df4

	X1	X2	X3	X4	X5	X6	X7	X8	X9	X10	X11	X12	X13	X14	X15	X16	X17	X18	X19	X20	X21	X22	X23	X24	X25	X26	X27	X28	X29	X30	X31	X32	X33	X34	X35	X36	X37	X38	X39	X40	X41	X42	X43	X44	X45	X46	X47	X48	X49	X50	X51	X52	X53	X54	X55	X56	X57	X58	X59	X60	X61	X62	X63	X64	Y
X1	1.000000	-0.341823	0.359100	0.125112	0.055870	0.328780	0.986948	0.103982	0.156366	0.349387	0.973931	0.530339	0.643565	0.986948	0.000494	0.469441	0.102967	0.986948	0.753207	-0.137055	0.181727	0.913371	0.764611	0.710323	0.356465	0.469916	0.153498	0.141032	0.029203	-0.217344	0.728696	-0.170157	0.192443	0.193994	0.830657	0.159156	0.059002	0.307491	0.616880	0.082280	-0.010104	0.696894	-0.113829	-0.038938	0.303646	0.126433	-0.058315	0.799648	0.639434	0.133969	-0.285963	-0.170474	0.168405	0.145205	0.099940	0.450089	0.364708	-0.475009	-0.027528	0.037993	0.029694	-0.250861	0.262219	0.085770	-0.134760
X2	-0.341823	1.000000	-0.680304	-0.400273	-0.139327	-0.410018	-0.345336	-0.460103	0.134432	-0.983740	-0.304920	-0.309617	-0.341109	-0.345336	0.097551	-0.366389	-0.466338	-0.345336	-0.344236	0.002613	0.063166	-0.273500	-0.334370	-0.394944	-0.773715	-0.357501	-0.072889	-0.143241	-0.074636	0.474066	-0.312531	0.383669	-0.397847	-0.328453	-0.258866	0.165008	-0.126653	-0.843073	-0.262517	-0.299412	0.069876	-0.277430	0.010135	0.011509	-0.127340	-0.369779	-0.031716	-0.234696	-0.209481	-0.423735	0.832886	0.391479	-0.199007	-0.154150	-0.222963	-0.213754	0.061492	0.233469	0.163840	0.004940	-0.014136	0.440811	-0.422932	0.096082	0.134314
X3	0.359100	-0.680304	1.000000	0.488415	0.186874	0.268725	0.371088	0.337043	0.065452	0.690071	0.354658	0.289483	0.249455	0.371088	-0.049011	0.319275	0.335676	0.371088	0.320526	0.108235	-0.020083	0.305813	0.311888	0.402941	0.531381	0.306852	0.080029	0.379484	-0.169440	-0.449176	0.299643	-0.432436	0.402852	0.366445	0.292021	0.019468	0.091622	0.659028	0.241507	0.349917	-0.061251	0.255231	0.156321	0.120542	0.091132	0.446825	0.138540	0.287602	0.261172	0.470000	-0.653879	-0.439345	0.371896	0.377512	0.230414	0.224904	0.003712	-0.244205	-0.085446	-0.000924	-0.088394	-0.495326	0.432203	0.157224	-0.115082
X4	0.125112	-0.400273	0.488415	1.000000	0.166214	0.068708	0.129233	0.773761	-0.076991	0.408006	0.118885	0.458102	0.187208	0.129233	-0.062329	0.506383	0.769836	0.129233	0.190566	0.068107	-0.032035	0.091095	0.175595	0.163105	0.251359	0.491884	0.060980	0.171766	-0.135754	-0.265299	0.186931	-0.210318	0.607103	0.507366	0.088225	-0.122847	0.099027	0.405440	0.131500	0.863679	-0.040891	0.144218	0.113379	0.096146	0.047005	0.946438	0.079443	0.088185	0.110039	0.905242	-0.399055	-0.214486	0.177627	0.174397	0.081549	0.140781	0.000051	-0.149420	-0.051779	0.001266	0.017519	-0.229352	0.660389	0.001896	-0.034051
X5	0.055870	-0.139327	0.186874	0.166214	1.000000	0.036313	0.058202	0.143595	0.005295	0.141141	0.054379	0.096331	0.075230	0.058202	-0.037305	0.085103	0.143457	0.058202	0.099335	-0.058687	-0.008949	0.044606	0.095114	0.065799	0.092716	0.079744	0.029242	0.063919	-0.047327	-0.161608	0.092140	-0.165596	0.080274	0.076427	0.034632	-0.006194	0.028659	0.135170	0.064781	0.159136	-0.006034	0.082163	0.047426	0.113318	0.015863	0.182268	-0.041730	0.049852	0.085902	0.158330	-0.142331	-0.167939	0.065273	0.063916	0.048799	0.043498	-0.017926	-0.055322	-0.014142	0.018624	-0.015101	-0.175027	0.094074	0.011541	-0.034416
X6	0.328780	-0.410018	0.268725	0.068708	0.036313	1.000000	0.336966	0.094717	-0.120954	0.388104	0.305851	0.207210	0.279048	0.336966	-0.015623	0.203806	0.100686	0.336966	0.325595	-0.061834	-0.034179	0.315529	0.319212	0.501969	0.566876	0.200755	-0.011399	0.025410	0.267093	-0.206304	0.280968	-0.187226	0.088338	-0.051774	0.320984	-0.008910	0.102813	0.324878	0.313750	0.034463	-0.046137	0.313506	-0.067720	-0.039688	0.077050	0.063021	-0.040983	0.284706	0.286630	0.088028	-0.322957	-0.188487	0.058028	0.026735	0.196422	0.178273	0.084720	-0.177646	-0.003449	0.002477	0.002959	-0.217785	0.113263	-0.044645	-0.086000
X7	0.986948	-0.345336	0.371088	0.129233	0.058202	0.336966	1.000000	0.105442	0.163402	0.352433	0.987662	0.541159	0.647103	1.000000	-0.007123	0.478905	0.104458	1.000000	0.762291	-0.148803	0.186393	0.934038	0.752525	0.724837	0.362175	0.469497	0.152121	0.149178	0.022895	-0.227444	0.731103	-0.178111	0.197998	0.199281	0.849474	0.168652	0.064409	0.306891	0.630700	0.087995	-0.019695	0.712133	-0.123390	-0.042011	0.305506	0.132848	-0.071175	0.820398	0.657470	0.139561	-0.285167	-0.178620	0.175891	0.153037	0.105233	0.448966	0.363786	-0.474406	-0.036658	0.044148	0.023425	-0.257842	0.267743	0.093204	-0.129394
X8	0.103982	-0.460103	0.337043	0.773761	0.143595	0.094717	0.105442	1.000000	-0.096798	0.465078	0.089851	0.422919	0.195609	0.105442	-0.064833	0.547644	0.996374	0.105442	0.186278	0.010456	-0.047180	0.067808	0.171640	0.145812	0.293402	0.531822	0.063889	0.084297	-0.075870	-0.299929	0.168878	-0.185784	0.519225	0.525273	0.062712	-0.147764	0.128881	0.410505	0.123378	0.720048	-0.041619	0.141849	0.025992	0.026366	0.069770	0.757377	0.027666	0.069127	0.095607	0.851471	-0.391623	-0.189629	0.101544	0.089541	0.079615	0.121872	-0.014647	-0.133161	-0.090443	0.012059	0.069041	-0.200977	0.565593	-0.040020	-0.033225
X9	0.156366	0.134432	0.065452	-0.076991	0.005295	-0.120954	0.163402	-0.096798	1.000000	-0.102791	0.201595	0.028892	-0.101520	0.163402	-0.005409	0.022698	-0.101943	0.163402	-0.006152	-0.264821	0.041644	0.181739	0.002825	0.182885	-0.154360	0.022538	0.060084	0.105603	-0.415096	-0.203813	-0.018099	-0.234409	0.261641	0.418002	0.162386	0.831206	-0.055090	-0.189190	-0.004004	-0.072001	-0.011348	-0.016000	-0.334856	-0.230570	0.021905	-0.065295	-0.241665	0.145207	0.083270	-0.049292	0.228615	-0.237109	0.103480	0.104890	-0.084100	-0.003442	0.116045	0.004183	-0.058773	0.146790	0.186358	-0.240642	0.248781	0.318450	0.025727
X10	0.349387	-0.983740	0.690071	0.408006	0.141141	0.388104	0.352433	0.465078	-0.102791	1.000000	0.317270	0.314846	0.342344	0.352433	-0.093876	0.368488	0.461962	0.352433	0.349718	0.000147	-0.065821	0.279583	0.340565	0.404028	0.763674	0.359733	0.078742	0.153132	0.023306	-0.467799	0.321621	-0.377345	0.402440	0.362429	0.262535	-0.156472	0.118713	0.863520	0.265543	0.304469	-0.064250	0.283052	-0.001953	-0.002764	0.131322	0.376910	0.038425	0.239302	0.218021	0.428430	-0.822825	-0.386105	0.211106	0.167143	0.202725	0.232937	-0.057689	-0.252928	-0.163318	-0.002929	0.011550	-0.438798	0.429861	-0.085226	-0.134494
X11	0.973931	-0.304920	0.354658	0.118885	0.054379	0.305851	0.987662	0.089851	0.201595	0.317270	1.000000	0.530806	0.627440	0.987662	-0.005127	0.465161	0.088011	0.987662	0.744675	-0.153558	0.188893	0.936708	0.734996	0.715542	0.320626	0.455648	0.144830	0.152285	-0.014276	-0.213633	0.720336	-0.171983	0.192795	0.210182	0.851122	0.189392	0.053399	0.282698	0.626719	0.079637	-0.024219	0.707977	-0.128998	-0.045604	0.298213	0.123878	-0.076560	0.823539	0.657471	0.126444	-0.257490	-0.173402	0.176191	0.156450	0.089285	0.443682	0.363719	-0.460114	-0.026100	0.050958	0.024539	-0.250840	0.261226	0.105199	-0.112575
X12	0.530339	-0.309617	0.289483	0.458102	0.096331	0.207210	0.541159	0.422919	0.028892	0.314846	0.530806	1.000000	0.505775	0.541159	-0.039275	0.870412	0.421575	0.541159	0.569985	-0.069252	0.094000	0.495569	0.557965	0.454671	0.267712	0.860985	0.133458	0.101492	-0.015845	-0.161598	0.558374	-0.151609	0.408791	0.372104	0.453139	0.001743	0.100696	0.294149	0.459756	0.349489	-0.025976	0.519988	-0.061385	-0.024904	0.222435	0.433047	-0.017807	0.440397	0.459289	0.448795	-0.283438	-0.153828	0.115617	0.104568	0.076671	0.322069	0.166064	-0.339511	-0.026800	0.035240	0.047451	-0.184640	0.534873	0.019532	-0.064431
X13	0.643565	-0.341109	0.249455	0.187208	0.075230	0.279048	0.647103	0.195609	-0.101520	0.342344	0.627440	0.505775	1.000000	0.647103	-0.003425	0.486440	0.198668	0.647103	0.888115	-0.059779	0.122098	0.565677	0.876298	0.444156	0.336997	0.484629	0.099222	0.044293	0.123877	-0.129752	0.868314	-0.005974	0.042598	0.030002	0.497758	-0.158057	0.083189	0.347445	0.659610	0.152679	-0.027232	0.800569	0.023175	0.081454	0.281171	0.193489	0.098303	0.337506	0.492367	0.170857	-0.344962	0.002329	0.064403	0.048805	0.139063	0.580406	0.205058	-0.632062	0.010532	0.017800	-0.045257	-0.188770	0.132153	-0.064552	-0.158291
X14	0.986948	-0.345336	0.371088	0.129233	0.058202	0.336966	1.000000	0.105442	0.163402	0.352433	0.987662	0.541159	0.647103	1.000000	-0.007123	0.478905	0.104458	1.000000	0.762291	-0.148803	0.186393	0.934038	0.752525	0.724837	0.362175	0.469497	0.152121	0.149178	0.022895	-0.227444	0.731103	-0.178111	0.197998	0.199281	0.849474	0.168652	0.064409	0.306891	0.630700	0.087995	-0.019695	0.712133	-0.123390	-0.042011	0.305506	0.132848	-0.071175	0.820398	0.657470	0.139561	-0.285167	-0.178620	0.175891	0.153037	0.105233	0.448966	0.363786	-0.474406	-0.036658	0.044148	0.023425	-0.257842	0.267743	0.093204	-0.129394
X15	0.000494	0.097551	-0.049011	-0.062329	-0.037305	-0.015623	-0.007123	-0.064833	-0.005409	-0.093876	-0.005127	-0.039275	-0.003425	-0.007123	1.000000	-0.062461	-0.065967	-0.007123	0.021894	0.026815	0.014241	-0.001717	0.028433	-0.044254	-0.064571	-0.060353	-0.004890	-0.005604	-0.008479	0.058148	0.025047	0.047463	-0.077779	-0.051760	-0.006329	-0.012293	-0.011247	-0.076903	0.015790	-0.048101	0.227627	0.027990	0.038790	0.029947	-0.009459	-0.057693	0.027124	0.023694	0.047520	-0.061389	0.067789	0.048512	-0.011960	-0.009481	-0.019901	0.022766	-0.021860	-0.026718	0.080686	-0.000357	-0.031475	0.038524	-0.077621	-0.001431	-0.010187
X16	0.469441	-0.366389	0.319275	0.506383	0.085103	0.203806	0.478905	0.547644	0.022698	0.368488	0.465161	0.870412	0.486440	0.478905	-0.062461	1.000000	0.548338	0.478905	0.461162	-0.061802	0.057568	0.428327	0.450767	0.421936	0.287629	0.994712	0.124133	0.108317	-0.030281	-0.229962	0.450827	-0.151411	0.443066	0.451326	0.394573	-0.005040	0.123878	0.322480	0.367057	0.407929	-0.047404	0.407906	-0.067346	-0.039209	0.206916	0.479604	0.011680	0.294997	0.282585	0.560063	-0.308380	-0.153284	0.123671	0.112778	0.081873	0.323713	0.136714	-0.341155	-0.073224	0.033502	0.066224	-0.199348	0.562941	0.010117	-0.056716
X17	0.102967	-0.466338	0.335676	0.769836	0.143457	0.100686	0.104458	0.996374	-0.101943	0.461962	0.088011	0.421575	0.198668	0.104458	-0.065967	0.548338	1.000000	0.104458	0.185883	0.011295	-0.047104	0.066744	0.171113	0.144536	0.296318	0.532671	0.062129	0.082132	-0.064845	-0.302416	0.167720	-0.187842	0.517491	0.514034	0.062116	-0.151441	0.130894	0.405847	0.121918	0.716089	-0.042593	0.139720	0.025321	0.024755	0.068502	0.753419	0.026935	0.068328	0.090336	0.848102	-0.396540	-0.191625	0.098882	0.086717	0.085899	0.115492	-0.015413	-0.126579	-0.091307	0.011221	0.068874	-0.202301	0.562678	-0.042126	-0.033357
X18	0.986948	-0.345336	0.371088	0.129233	0.058202	0.336966	1.000000	0.105442	0.163402	0.352433	0.987662	0.541159	0.647103	1.000000	-0.007123	0.478905	0.104458	1.000000	0.762291	-0.148803	0.186393	0.934038	0.752525	0.724837	0.362175	0.469497	0.152121	0.149178	0.022895	-0.227444	0.731103	-0.178111	0.197998	0.199281	0.849474	0.168652	0.064409	0.306891	0.630700	0.087995	-0.019695	0.712133	-0.123390	-0.042011	0.305506	0.132848	-0.071175	0.820398	0.657470	0.139561	-0.285167	-0.178620	0.175891	0.153037	0.105233	0.448966	0.363786	-0.474406	-0.036658	0.044148	0.023425	-0.257842	0.267743	0.093204	-0.129394
X19	0.753207	-0.344236	0.320526	0.190566	0.099335	0.325595	0.762291	0.186278	-0.006152	0.349718	0.744675	0.569985	0.888115	0.762291	0.021894	0.461162	0.185883	0.762291	1.000000	-0.101618	0.153225	0.687358	0.987031	0.539853	0.362850	0.451116	0.121594	0.083111	0.088402	-0.229272	0.958659	-0.135479	0.092036	0.084473	0.609497	-0.035981	0.093999	0.325306	0.761973	0.154360	0.001634	0.910237	-0.028096	0.047234	0.295279	0.196515	0.006232	0.608083	0.802491	0.188544	-0.310382	-0.131802	0.105714	0.086547	0.154432	0.529260	0.250215	-0.580190	-0.007725	0.025809	-0.032723	-0.277950	0.167760	-0.004768	-0.151109
X20	-0.137055	0.002613	0.108235	0.068107	-0.058687	-0.061834	-0.148803	0.010456	-0.264821	0.000147	-0.153558	-0.069252	-0.059779	-0.148803	0.026815	-0.061802	0.011295	-0.148803	-0.101618	1.000000	-0.067881	-0.150959	-0.095811	-0.152757	-0.030097	-0.056518	-0.041870	0.032019	0.075193	0.188387	-0.084236	0.237759	-0.150197	-0.122370	-0.132476	-0.326157	-0.003871	0.020397	-0.090175	-0.041519	0.008294	-0.086016	0.675047	0.073935	-0.120498	-0.064191	0.894788	-0.106701	-0.106950	0.046244	-0.010995	0.230248	0.014521	0.034178	0.036900	-0.026473	-0.081968	0.026439	0.015289	-0.199944	-0.026549	0.245437	-0.149188	-0.060456	0.041837
X21	0.181727	0.063166	-0.020083	-0.032035	-0.008949	-0.034179	0.186393	-0.047180	0.041644	-0.065821	0.188893	0.094000	0.122098	0.186393	0.014241	0.057568	-0.047104	0.186393	0.153225	-0.067881	1.000000	0.180549	0.156960	-0.014688	-0.027620	0.059082	0.028691	-0.010388	0.093143	0.002593	0.152472	-0.023460	-0.033607	-0.027510	0.193411	0.039822	0.011228	-0.038737	0.174092	-0.033558	-0.010290	0.149080	-0.082684	-0.054845	0.054920	-0.029254	-0.043424	0.163400	0.145064	-0.031008	0.035605	-0.016929	-0.013800	-0.011738	0.000449	0.111427	0.140426	-0.102743	0.054816	0.009796	-0.037186	-0.038579	-0.010280	0.055601	-0.038726
X22	0.913371	-0.273500	0.305813	0.091095	0.044606	0.315529	0.934038	0.067808	0.181739	0.279583	0.936708	0.495569	0.565677	0.934038	-0.001717	0.428327	0.066744	0.934038	0.687358	-0.150959	0.180549	1.000000	0.672557	0.676261	0.301467	0.414733	0.143698	0.132805	0.016179	-0.193972	0.601507	-0.170533	0.186645	0.184087	0.902677	0.192344	0.052397	0.252357	0.665074	0.054894	-0.030918	0.758147	-0.134963	-0.055847	0.279921	0.096039	-0.096543	0.888505	0.709538	0.099367	-0.230578	-0.171390	0.156685	0.137140	0.078315	0.381292	0.338848	-0.392934	-0.016159	0.048671	0.029742	-0.235795	0.241531	0.092011	-0.104896
X23	0.764611	-0.334370	0.311888	0.175595	0.095114	0.319212	0.752525	0.171640	0.002825	0.340565	0.734996	0.557965	0.876298	0.752525	0.028433	0.450767	0.171113	0.752525	0.987031	-0.095811	0.156960	0.672557	1.000000	0.527238	0.353302	0.449911	0.122740	0.079288	0.090091	-0.229005	0.951535	-0.140600	0.090824	0.084738	0.596385	-0.024765	0.087819	0.317622	0.744508	0.135215	0.011322	0.891017	-0.028810	0.041400	0.290897	0.177969	0.013222	0.592196	0.785860	0.172972	-0.301972	-0.136571	0.102090	0.082756	0.148587	0.524544	0.252001	-0.574377	0.003419	0.022984	-0.021324	-0.282778	0.165860	-0.003441	-0.154530
X24	0.710323	-0.394944	0.402941	0.163105	0.065799	0.501969	0.724837	0.145812	0.182885	0.404028	0.715542	0.454671	0.444156	0.724837	-0.044254	0.421936	0.144536	0.724837	0.539853	-0.152757	-0.014688	0.676261	0.527238	1.000000	0.423412	0.412208	0.129103	0.162667	-0.016254	-0.264326	0.513398	-0.210200	0.245119	0.256534	0.645465	0.173306	0.074513	0.328766	0.469174	0.116121	-0.051180	0.502898	-0.117575	-0.030837	0.215404	0.166277	-0.092706	0.598654	0.478782	0.180123	-0.304838	-0.214897	0.190641	0.165640	0.107149	0.341333	0.239883	-0.337602	-0.061129	0.053735	0.036715	-0.265947	0.302337	0.090131	-0.098969
X25	0.356465	-0.773715	0.531381	0.251359	0.092716	0.566876	0.362175	0.293402	-0.154360	0.763674	0.320626	0.267712	0.336997	0.362175	-0.064571	0.287629	0.296318	0.362175	0.362850	-0.030097	-0.027620	0.301467	0.353302	0.423412	1.000000	0.277497	0.065825	0.116606	0.232548	-0.376624	0.326084	-0.315355	0.226810	0.111562	0.293482	-0.129547	0.130955	0.655000	0.300759	0.176662	-0.068535	0.310700	-0.033083	-0.019482	0.113580	0.234163	0.000336	0.268898	0.259018	0.272810	-0.637257	-0.317438	0.170505	0.125435	0.220654	0.204902	0.003723	-0.223184	-0.103130	-0.018638	-0.031199	-0.362981	0.257381	-0.076002	-0.141141
X26	0.469916	-0.357501	0.306852	0.491884	0.079744	0.200755	0.469497	0.531822	0.022538	0.359733	0.455648	0.860985	0.484629	0.469497	-0.060353	0.994712	0.532671	0.469497	0.451116	-0.056518	0.059082	0.414733	0.449911	0.412208	0.277497	1.000000	0.125380	0.101306	-0.027494	-0.220866	0.446286	-0.145083	0.436319	0.443621	0.381371	-0.004655	0.119878	0.315514	0.352508	0.386244	-0.044776	0.393095	-0.064423	-0.039689	0.203056	0.459903	0.018938	0.275753	0.262407	0.542855	-0.301736	-0.146775	0.116421	0.105805	0.077465	0.324224	0.137895	-0.341860	-0.070416	0.031275	0.070166	-0.194568	0.557601	0.006789	-0.057583
X27	0.153498	-0.072889	0.080029	0.060980	0.029242	-0.011399	0.152121	0.063889	0.060084	0.078742	0.144830	0.133458	0.099222	0.152121	-0.004890	0.124133	0.062129	0.152121	0.121594	-0.041870	0.028691	0.143698	0.122740	0.129103	0.065825	0.125380	1.000000	0.060309	-0.050491	-0.061276	0.110287	-0.045208	0.085936	0.122416	0.126317	0.040138	0.005994	0.060075	0.103457	0.050353	-0.004289	0.120555	-0.035455	-0.012816	0.078617	0.066133	-0.031608	0.126307	0.111177	0.066624	-0.055193	-0.046037	0.064223	0.062014	-0.005947	0.077854	0.044430	-0.082257	-0.021641	0.030302	0.004793	-0.055650	0.102855	0.032708	-0.014134
X28	0.141032	-0.143241	0.379484	0.171766	0.063919	0.025410	0.149178	0.084297	0.105603	0.153132	0.152285	0.101492	0.044293	0.149178	-0.005604	0.108317	0.082132	0.149178	0.083111	0.032019	-0.010388	0.132805	0.079288	0.162667	0.116606	0.101306	0.060309	1.000000	-0.180449	-0.140593	0.079704	-0.080652	0.110603	0.158421	0.120917	0.080447	0.008395	0.119817	0.052489	0.143669	-0.021982	0.061596	0.085954	0.089336	0.050677	0.173419	0.036525	0.143759	0.084788	0.190184	-0.104596	-0.081607	0.949918	0.995155	0.001424	0.057080	0.031347	-0.062327	-0.050273	0.033285	-0.027563	-0.093886	0.123876	0.639614	0.006079
X29	0.029203	-0.074636	-0.169440	-0.135754	-0.047327	0.267093	0.022895	-0.075870	-0.415096	0.023306	-0.014276	-0.015845	0.123877	0.022895	-0.008479	-0.030281	-0.064845	0.022895	0.088402	0.075193	0.093143	0.016179	0.090091	-0.016254	0.232548	-0.027494	-0.050491	-0.180449	1.000000	0.088058	0.066147	0.047392	-0.213587	-0.378852	0.082337	-0.297947	0.157481	0.075929	0.161417	-0.125691	-0.018043	0.093425	0.041912	-0.006398	-0.038152	-0.146454	0.076148	0.024024	0.036119	-0.135315	-0.116880	0.056719	-0.169566	-0.181661	0.340238	0.079481	-0.001323	-0.052082	0.072099	-0.118817	-0.100621	0.043529	-0.203939	-0.214109	-0.054219
X30	-0.217344	0.474066	-0.449176	-0.265299	-0.161608	-0.206304	-0.227444	-0.299929	-0.203813	-0.467799	-0.213633	-0.161598	-0.129752	-0.227444	0.058148	-0.229962	-0.302416	-0.227444	-0.229272	0.188387	0.002593	-0.193972	-0.229005	-0.264326	-0.376624	-0.220866	-0.061276	-0.140593	0.088058	1.000000	-0.180400	0.590058	-0.256874	-0.259115	-0.180154	-0.237502	-0.089890	-0.279131	-0.158851	-0.279957	0.035536	-0.152043	0.287809	0.231068	-0.061584	-0.263171	0.138418	-0.153679	-0.210209	-0.343858	0.248607	0.583161	-0.162955	-0.142705	-0.129992	-0.117266	-0.036797	0.155204	0.179964	-0.042043	-0.055055	0.653823	-0.266325	-0.071752	0.074171
X31	0.728696	-0.312531	0.299643	0.186931	0.092140	0.280968	0.731103	0.168878	-0.018099	0.321621	0.720336	0.558374	0.868314	0.731103	0.025047	0.450827	0.167720	0.731103	0.958659	-0.084236	0.152472	0.601507	0.951535	0.513398	0.326084	0.446286	0.110287	0.079704	0.066147	-0.180400	1.000000	-0.097999	0.071823	0.076074	0.534546	-0.055617	0.076636	0.313688	0.681924	0.151218	0.006657	0.814389	-0.007891	0.059970	0.286151	0.192276	0.033954	0.522271	0.702478	0.177475	-0.296588	-0.096111	0.099125	0.083118	0.138461	0.542393	0.250714	-0.582167	0.002786	0.021644	-0.033792	-0.239274	0.153988	-0.010437	-0.132333
X32	-0.170157	0.383669	-0.432436	-0.210318	-0.165596	-0.187226	-0.178111	-0.185784	-0.234409	-0.377345	-0.171983	-0.151609	-0.005974	-0.178111	0.047463	-0.151411	-0.187842	-0.178111	-0.135479	0.237759	-0.023460	-0.170533	-0.140600	-0.210200	-0.315355	-0.145083	-0.045208	-0.080652	0.047392	0.590058	-0.097999	1.000000	-0.354176	-0.249613	-0.139463	-0.285974	-0.034003	-0.390931	-0.073593	-0.139019	0.065450	-0.097267	0.387845	0.324886	-0.014029	-0.189414	0.297337	-0.185745	-0.202413	-0.189666	0.405213	0.978069	-0.085477	-0.080462	-0.122231	0.093643	-0.032341	-0.039032	0.030814	-0.046103	-0.094979	0.899971	-0.343792	-0.051009	0.084014
X33	0.192443	-0.397847	0.402852	0.607103	0.080274	0.088338	0.197998	0.519225	0.261641	0.402440	0.192795	0.408791	0.042598	0.197998	-0.077779	0.443066	0.517491	0.197998	0.092036	-0.150197	-0.033607	0.186645	0.090824	0.245119	0.226810	0.436319	0.085936	0.110603	-0.213587	-0.256874	0.071823	-0.354176	1.000000	0.783644	0.149097	0.284551	0.043735	0.406828	0.046037	0.439764	-0.065840	0.071969	-0.222424	-0.174709	0.085651	0.550474	-0.158171	0.168001	0.103675	0.527442	-0.404423	-0.361305	0.117677	0.112930	0.030433	-0.030337	0.029348	0.022014	-0.050158	0.106808	0.220762	-0.352620	0.962957	0.060970	-0.017627
X34	0.193994	-0.328453	0.366445	0.507366	0.076427	-0.051774	0.199281	0.525273	0.418002	0.362429	0.210182	0.372104	0.030002	0.199281	-0.051760	0.451326	0.514034	0.199281	0.084473	-0.122370	-0.027510	0.184087	0.084738	0.256534	0.111562	0.443621	0.122416	0.158421	-0.378852	-0.259115	0.076074	-0.249613	0.783644	1.000000	0.144646	0.292576	0.004402	0.290777	0.032980	0.400047	-0.037945	0.060915	-0.160891	-0.114869	0.096615	0.478350	-0.114241	0.167245	0.099639	0.559236	-0.250532	-0.255255	0.174919	0.164657	-0.056990	0.008747	0.034550	-0.020413	-0.092889	0.100884	0.164732	-0.253272	0.767894	0.124358	0.006486
X35	0.830657	-0.258866	0.292021	0.088225	0.034632	0.320984	0.849474	0.062712	0.162386	0.262535	0.851122	0.453139	0.497758	0.849474	-0.006329	0.394573	0.062116	0.849474	0.609497	-0.132476	0.193411	0.902677	0.596385	0.645465	0.293482	0.381371	0.126317	0.120917	0.082337	-0.180154	0.534546	-0.139463	0.149097	0.144646	1.000000	0.176037	0.051824	0.241952	0.779259	0.049049	-0.020627	0.665655	-0.120421	-0.051688	0.241016	0.092552	-0.060394	0.803349	0.627492	0.094254	-0.215886	-0.139797	0.143203	0.124792	0.080720	0.482863	0.312238	-0.405980	-0.016670	0.030339	0.017941	-0.221318	0.220489	0.089957	-0.125173
X36	0.159156	0.165008	0.019468	-0.122847	-0.006194	-0.008910	0.168652	-0.147764	0.831206	-0.156472	0.189392	0.001743	-0.158057	0.168652	-0.012293	-0.005040	-0.151441	0.168652	-0.035981	-0.326157	0.039822	0.192344	-0.024765	0.173306	-0.129547	-0.004655	0.040138	0.080447	-0.297947	-0.237502	-0.055617	-0.285974	0.284551	0.292576	0.176037	1.000000	-0.041774	-0.260748	-0.028465	-0.111237	-0.023192	-0.044847	-0.419532	-0.293595	0.013966	-0.107717	-0.305545	0.155494	0.088495	-0.085950	0.291173	-0.289585	0.078397	0.077342	-0.072303	-0.056574	0.133866	0.054910	-0.070212	0.162090	0.254477	-0.285233	0.260379	0.319847	0.040802
X37	0.059002	-0.126653	0.091622	0.099027	0.028659	0.102813	0.064409	0.128881	-0.055090	0.118713	0.053399	0.100696	0.083189	0.064409	-0.011247	0.123878	0.130894	0.064409	0.093999	-0.003871	0.011228	0.052397	0.087819	0.074513	0.130955	0.119878	0.005994	0.008395	0.157481	-0.089890	0.076636	-0.034003	0.043735	0.004402	0.051824	-0.041774	1.000000	0.058330	0.071933	0.087756	-0.017991	0.073499	0.016181	0.025117	0.007562	0.095841	0.007365	0.052264	0.065408	0.126566	-0.060556	-0.034173	0.014141	0.006891	0.245502	0.050682	0.020101	-0.051396	-0.060881	-0.018447	-0.023546	-0.037156	0.057416	-0.017306	-0.019135
X38	0.307491	-0.843073	0.659028	0.405440	0.135170	0.324878	0.306891	0.410505	-0.189190	0.863520	0.282698	0.294149	0.347445	0.306891	-0.076903	0.322480	0.405847	0.306891	0.325306	0.020397	-0.038737	0.252357	0.317622	0.328766	0.655000	0.315514	0.060075	0.119817	0.075929	-0.279131	0.313688	-0.390931	0.406828	0.290777	0.241952	-0.260748	0.058330	1.000000	0.271638	0.290196	-0.061992	0.287543	0.002076	-0.014297	0.115910	0.367263	0.052386	0.213377	0.194197	0.360762	-0.953193	-0.400703	0.141917	0.136756	0.198169	0.233098	-0.064246	-0.236962	0.028803	-0.012705	0.017737	-0.456050	0.431587	-0.150795	-0.145158
X39	0.616880	-0.262517	0.241507	0.131500	0.064781	0.313750	0.630700	0.123378	-0.004004	0.265543	0.626719	0.459756	0.659610	0.630700	0.015790	0.367057	0.121918	0.630700	0.761973	-0.090175	0.174092	0.665074	0.744508	0.469174	0.300759	0.352508	0.103457	0.052489	0.161417	-0.158851	0.681924	-0.073593	0.046037	0.032980	0.779259	-0.028465	0.071933	0.271638	1.000000	0.093677	-0.000931	0.829163	-0.041930	0.018939	0.242029	0.137798	0.025203	0.597648	0.744355	0.121022	-0.250515	-0.060327	0.072949	0.056080	0.122631	0.624427	0.202533	-0.533882	0.010154	0.014910	-0.039175	-0.225204	0.129841	-0.004497	-0.153017
X40	0.082280	-0.299412	0.349917	0.863679	0.159136	0.034463	0.087995	0.720048	-0.072001	0.304469	0.079637	0.349489	0.152679	0.087995	-0.048101	0.407929	0.716089	0.087995	0.154360	-0.041519	-0.033558	0.054894	0.135215	0.116121	0.176662	0.386244	0.050353	0.143669	-0.125691	-0.279957	0.151218	-0.139019	0.439764	0.400047	0.049049	-0.111237	0.087756	0.290196	0.093677	1.000000	-0.029165	0.108675	-0.021945	0.005151	0.058142	0.917315	-0.020108	0.059565	0.081186	0.838674	-0.286397	-0.141627	0.150928	0.145305	0.055375	0.102104	-0.000201	-0.114680	-0.044102	0.030734	0.068875	-0.152690	0.475183	-0.000346	-0.015337
X41	-0.010104	0.069876	-0.061251	-0.040891	-0.006034	-0.046137	-0.019695	-0.041619	-0.011348	-0.064250	-0.024219	-0.025976	-0.027232	-0.019695	0.227627	-0.047404	-0.042593	-0.019695	0.001634	0.008294	-0.010290	-0.030918	0.011322	-0.051180	-0.068535	-0.044776	-0.004289	-0.021982	-0.018043	0.035536	0.006657	0.065450	-0.065840	-0.037945	-0.020627	-0.023192	-0.017991	-0.061992	-0.000931	-0.029165	1.000000	-0.009900	0.011036	0.007963	0.014215	-0.038575	0.022101	0.003721	0.020689	-0.041309	0.058333	0.068971	-0.023666	-0.022934	-0.023876	0.068011	0.004031	-0.072221	0.037932	-0.007791	-0.007159	0.048405	-0.058986	-0.017749	-0.033387
X42	0.696894	-0.277430	0.255231	0.144218	0.082163	0.313506	0.712133	0.141849	-0.016000	0.283052	0.707977	0.519988	0.800569	0.712133	0.027990	0.407906	0.139720	0.712133	0.910237	-0.086016	0.149080	0.758147	0.891017	0.502898	0.310700	0.393095	0.120555	0.061596	0.093425	-0.152043	0.814389	-0.097267	0.071969	0.060915	0.665655	-0.044847	0.073499	0.287543	0.829163	0.108675	-0.009900	1.000000	-0.034622	0.025330	0.280670	0.149158	0.000396	0.679311	0.884551	0.135576	-0.274884	-0.094809	0.081274	0.065210	0.124905	0.498011	0.223481	-0.526344	0.024353	0.024886	-0.028795	-0.231649	0.139413	-0.011805	-0.125781
X43	-0.113829	0.010135	0.156321	0.113379	0.047426	-0.067720	-0.123390	0.025992	-0.334856	-0.001953	-0.128998	-0.061385	0.023175	-0.123390	0.038790	-0.067346	0.025321	-0.123390	-0.028096	0.675047	-0.082684	-0.134963	-0.028810	-0.117575	-0.033083	-0.064423	-0.035455	0.085954	0.041912	0.287809	-0.007891	0.387845	-0.222424	-0.160891	-0.120421	-0.419532	0.016181	0.002076	-0.041930	-0.021945	0.011036	-0.034622	1.000000	0.785665	-0.044595	0.062188	0.607517	-0.077226	-0.079016	0.082435	0.015678	0.381349	0.071920	0.086943	0.055466	-0.000872	-0.073653	-0.003417	-0.002114	-0.123018	-0.261657	0.388816	-0.214699	-0.035465	0.016834
X44	-0.038938	0.011509	0.120542	0.096146	0.113318	-0.039688	-0.042011	0.026366	-0.230570	-0.002764	-0.045604	-0.024904	0.081454	-0.042011	0.029947	-0.039209	0.024755	-0.042011	0.047234	0.073935	-0.054845	-0.055847	0.041400	-0.030837	-0.019482	-0.039689	-0.012816	0.089336	-0.006398	0.231068	0.059970	0.324886	-0.174709	-0.114869	-0.051688	-0.293595	0.025117	-0.014297	0.018939	0.005151	0.007963	0.025330	0.785665	1.000000	0.040762	0.137888	0.070877	-0.014915	-0.017124	0.072652	0.030412	0.322405	0.085038	0.088863	0.044033	0.021020	-0.030823	-0.026789	-0.015679	0.001376	-0.331424	0.319762	-0.165113	0.002756	-0.012328
X45	0.303646	-0.127340	0.091132	0.047005	0.015863	0.077050	0.305506	0.069770	0.021905	0.131322	0.298213	0.222435	0.281171	0.305506	-0.009459	0.206916	0.068502	0.305506	0.295279	-0.120498	0.054920	0.279921	0.290897	0.215404	0.113580	0.203056	0.078617	0.050677	-0.038152	-0.061584	0.286151	-0.014029	0.085651	0.096615	0.241016	0.013966	0.007562	0.115910	0.242029	0.058142	0.014215	0.280670	-0.044595	0.040762	1.000000	0.075352	-0.102537	0.241440	0.228077	0.050038	-0.110892	-0.013212	0.056150	0.047195	0.007461	0.151057	0.090916	-0.167058	-0.004238	0.495978	-0.001560	-0.055080	0.105844	0.019227	-0.038719
X46	0.126433	-0.369779	0.446825	0.946438	0.182268	0.063021	0.132848	0.757377	-0.065295	0.376910	0.123878	0.433047	0.193489	0.132848	-0.057693	0.479604	0.753419	0.132848	0.196515	-0.064191	-0.029254	0.096039	0.177969	0.166277	0.234163	0.459903	0.066133	0.173419	-0.146454	-0.263171	0.192276	-0.189414	0.550474	0.478350	0.092552	-0.107717	0.095841	0.367263	0.137798	0.917315	-0.038575	0.149158	0.062188	0.137888	0.075352	1.000000	-0.035442	0.091854	0.113422	0.879813	-0.362661	-0.193079	0.181229	0.175349	0.072974	0.139608	0.006035	-0.149671	-0.055443	0.039919	-0.005115	-0.208200	0.607114	0.010683	-0.041958
X47	-0.058315	-0.031716	0.138540	0.079443	-0.041730	-0.040983	-0.071175	0.027666	-0.241665	0.038425	-0.076560	-0.017807	0.098303	-0.071175	0.027124	0.011680	0.026935	-0.071175	0.006232	0.894788	-0.043424	-0.096543	0.013222	-0.092706	0.000336	0.018938	-0.031608	0.036525	0.076148	0.138418	0.033954	0.297337	-0.158171	-0.114241	-0.060394	-0.305545	0.007365	0.052386	0.025203	-0.020108	0.022101	0.000396	0.607517	0.070877	-0.102537	-0.035442	1.000000	-0.137258	-0.093567	0.066148	-0.042421	0.304512	0.022661	0.038996	0.047887	0.220410	-0.053249	-0.209151	0.007919	-0.184186	-0.032339	0.187896	-0.127399	-0.058678	0.005362
X48	0.799648	-0.234696	0.287602	0.088185	0.049852	0.284706	0.820398	0.069127	0.145207	0.239302	0.823539	0.440397	0.337506	0.820398	0.023694	0.294997	0.068328	0.820398	0.608083	-0.106701	0.163400	0.888505	0.592196	0.598654	0.268898	0.275753	0.126307	0.143759	0.024024	-0.153679	0.522271	-0.185745	0.168001	0.167245	0.803349	0.155494	0.052264	0.213377	0.597648	0.059565	0.003721	0.679311	-0.077226	-0.014915	0.241440	0.091854	-0.137258	1.000000	0.801668	0.100015	-0.192786	-0.189615	0.164376	0.146448	0.078236	0.198128	0.291068	-0.207368	-0.012685	0.037910	0.010904	-0.181750	0.193756	0.117606	-0.069660
X49	0.639434	-0.209481	0.261172	0.110039	0.085902	0.286630	0.657470	0.095607	0.083270	0.218021	0.657471	0.459289	0.492367	0.657470	0.047520	0.282585	0.090336	0.657470	0.802491	-0.106950	0.145064	0.709538	0.785860	0.478782	0.259018	0.262407	0.111177	0.084788	0.036119	-0.210209	0.702478	-0.202413	0.103675	0.099639	0.627492	0.088495	0.065408	0.194197	0.744355	0.081186	0.020689	0.884551	-0.079016	-0.017124	0.228077	0.113422	-0.093567	0.801668	1.000000	0.117326	-0.172180	-0.205332	0.102115	0.086472	0.108726	0.324417	0.214296	-0.345669	0.003259	0.027256	-0.008745	-0.263429	0.140632	0.051121	-0.085891
X50	0.133969	-0.423735	0.470000	0.905242	0.158330	0.088028	0.139561	0.851471	-0.049292	0.428430	0.126444	0.448795	0.170857	0.139561	-0.061389	0.560063	0.848102	0.139561	0.188544	0.046244	-0.031008	0.099367	0.172972	0.180123	0.272810	0.542855	0.066624	0.190184	-0.135315	-0.343858	0.177475	-0.189666	0.527442	0.559236	0.094254	-0.085950	0.126566	0.360762	0.121022	0.838674	-0.041309	0.135576	0.082435	0.072652	0.050038	0.879813	0.066148	0.100015	0.117326	1.000000	-0.339908	-0.193125	0.205583	0.194379	0.084260	0.119907	0.002085	-0.133755	-0.096018	0.002156	0.020631	-0.206009	0.571379	0.023268	-0.025806
X51	-0.285963	0.832886	-0.653879	-0.399055	-0.142331	-0.322957	-0.285167	-0.391623	0.228615	-0.822825	-0.257490	-0.283438	-0.344962	-0.285167	0.067789	-0.308380	-0.396540	-0.285167	-0.310382	-0.010995	0.035605	-0.230578	-0.301972	-0.304838	-0.637257	-0.301736	-0.055193	-0.104596	-0.116880	0.248607	-0.296588	0.405213	-0.404423	-0.250532	-0.215886	0.291173	-0.060556	-0.953193	-0.250515	-0.286397	0.058333	-0.274884	0.015678	0.030412	-0.110892	-0.362661	-0.042421	-0.192786	-0.172180	-0.339908	1.000000	0.414696	-0.116573	-0.110299	-0.214896	-0.212367	0.076634	0.222140	-0.033484	0.011690	-0.024945	0.467160	-0.427065	0.174539	0.135798
X52	-0.170474	0.391479	-0.439345	-0.214486	-0.167939	-0.188487	-0.178620	-0.189629	-0.237109	-0.386105	-0.173402	-0.153828	0.002329	-0.178620	0.048512	-0.153284	-0.191625	-0.178620	-0.131802	0.230248	-0.016929	-0.171390	-0.136571	-0.214897	-0.317438	-0.146775	-0.046037	-0.081607	0.056719	0.583161	-0.096111	0.978069	-0.361305	-0.255255	-0.139797	-0.289585	-0.034173	-0.400703	-0.060327	-0.141627	0.068971	-0.094809	0.381349	0.322405	-0.013212	-0.193079	0.304512	-0.189615	-0.205332	-0.193125	0.414696	1.000000	-0.086641	-0.081437	-0.124291	0.088249	-0.029188	-0.049798	0.027028	-0.046536	-0.097338	0.899221	-0.349982	-0.051197	0.069139
X53	0.168405	-0.199007	0.371896	0.177627	0.065273	0.058028	0.175891	0.101544	0.103480	0.211106	0.176191	0.115617	0.064403	0.175891	-0.011960	0.123671	0.098882	0.175891	0.105714	0.014521	-0.013800	0.156685	0.102090	0.190641	0.170505	0.116421	0.064223	0.949918	-0.169566	-0.162955	0.099125	-0.085477	0.117677	0.174919	0.143203	0.078397	0.014141	0.141917	0.072949	0.150928	-0.023666	0.081274	0.071920	0.085038	0.056150	0.181229	0.022661	0.164376	0.102115	0.205583	-0.116573	-0.086641	1.000000	0.955903	0.003276	0.069241	0.024673	-0.075200	-0.055120	0.025997	-0.022968	-0.098328	0.132533	0.598085	0.000441
X54	0.145205	-0.154150	0.377512	0.174397	0.063916	0.026735	0.153037	0.089541	0.104890	0.167143	0.156450	0.104568	0.048805	0.153037	-0.009481	0.112778	0.086717	0.153037	0.086547	0.034178	-0.011738	0.137140	0.082756	0.165640	0.125435	0.105805	0.062014	0.995155	-0.181661	-0.142705	0.083118	-0.080462	0.112930	0.164657	0.124792	0.077342	0.006891	0.136756	0.056080	0.145305	-0.022934	0.065210	0.086943	0.088863	0.047195	0.175349	0.038996	0.146448	0.086472	0.194379	-0.110299	-0.081437	0.955903	1.000000	0.000028	0.060804	0.028830	-0.065772	-0.048407	0.025768	-0.027044	-0.094540	0.126542	0.626908	0.004577
X55	0.099940	-0.222963	0.230414	0.081549	0.048799	0.196422	0.105233	0.079615	-0.084100	0.202725	0.089285	0.076671	0.139063	0.105233	-0.019901	0.081873	0.085899	0.105233	0.154432	0.036900	0.000449	0.078315	0.148587	0.107149	0.220654	0.077465	-0.005947	0.001424	0.340238	-0.129992	0.138461	-0.122231	0.030433	-0.056990	0.080720	-0.072303	0.245502	0.198169	0.122631	0.055375	-0.023876	0.124905	0.055466	0.044033	0.007461	0.072974	0.047887	0.078236	0.108726	0.084260	-0.214896	-0.124291	0.003276	0.000028	1.000000	0.091345	0.004696	-0.090850	-0.016721	-0.034202	-0.036200	-0.138856	0.040502	-0.033077	-0.050236
X56	0.450089	-0.213754	0.224904	0.140781	0.043498	0.178273	0.448966	0.121872	-0.003442	0.232937	0.443682	0.322069	0.580406	0.448966	0.022766	0.323713	0.115492	0.448966	0.529260	-0.026473	0.111427	0.381292	0.524544	0.341333	0.204902	0.324224	0.077854	0.057080	0.079481	-0.117266	0.542393	0.093643	-0.030337	0.008747	0.482863	-0.056574	0.050682	0.233098	0.624427	0.102104	0.068011	0.498011	-0.000872	0.021020	0.151057	0.139608	0.220410	0.198128	0.324417	0.119907	-0.212367	0.088249	0.069241	0.060804	0.091345	1.000000	0.138215	-0.895903	0.002542	-0.009331	-0.035181	-0.170505	0.114366	-0.013294	-0.096796
X57	0.364708	0.061492	0.003712	0.000051	-0.017926	0.084720	0.363786	-0.014647	0.116045	-0.057689	0.363719	0.166064	0.205058	0.363786	-0.021860	0.136714	-0.015413	0.363786	0.250215	-0.081968	0.140426	0.338848	0.252001	0.239883	0.003723	0.137895	0.044430	0.031347	-0.001323	-0.036797	0.250714	-0.032341	0.029348	0.034550	0.312238	0.133866	0.020101	-0.064246	0.202533	-0.000201	0.004031	0.223481	-0.073653	-0.030823	0.090916	0.006035	-0.053249	0.291068	0.214296	0.002085	0.076634	-0.029188	0.024673	0.028830	0.004696	0.138215	1.000000	-0.145355	-0.123341	0.035480	0.031045	-0.038208	0.051558	0.083341	-0.034488
X58	-0.475009	0.233469	-0.244205	-0.149420	-0.055322	-0.177646	-0.474406	-0.133161	0.004183	-0.252928	-0.460114	-0.339511	-0.632062	-0.474406	-0.026718	-0.341155	-0.126579	-0.474406	-0.580190	0.026439	-0.102743	-0.392934	-0.574377	-0.337602	-0.223184	-0.341860	-0.082257	-0.062327	-0.052082	0.155204	-0.582167	-0.039032	0.022014	-0.020413	-0.405980	0.054910	-0.051396	-0.236962	-0.533882	-0.114680	-0.072221	-0.526344	-0.003417	-0.026789	-0.167058	-0.149671	-0.209151	-0.207368	-0.345669	-0.133755	0.222140	-0.049798	-0.075200	-0.065772	-0.090850	-0.895903	-0.145355	1.000000	0.010313	0.001974	0.036270	0.196432	-0.116889	0.015929	0.084157
X59	-0.027528	0.163840	-0.085446	-0.051779	-0.014142	-0.003449	-0.036658	-0.090443	-0.058773	-0.163318	-0.026100	-0.026800	0.010532	-0.036658	0.080686	-0.073224	-0.091307	-0.036658	-0.007725	0.015289	0.054816	-0.016159	0.003419	-0.061129	-0.103130	-0.070416	-0.021641	-0.050273	0.072099	0.179964	0.002786	0.030814	-0.050158	-0.092889	-0.016670	-0.070212	-0.060881	0.028803	0.010154	-0.044102	0.037932	0.024353	-0.002114	-0.015679	-0.004238	-0.055443	0.007919	-0.012685	0.003259	-0.096018	-0.033484	0.027028	-0.055120	-0.048407	-0.016721	0.002542	-0.123341	0.010313	1.000000	-0.015825	-0.004827	0.030540	-0.051645	-0.053065	0.017292
X60	0.037993	0.004940	-0.000924	0.001266	0.018624	0.002477	0.044148	0.012059	0.146790	-0.002929	0.050958	0.035240	0.017800	0.044148	-0.000357	0.033502	0.011221	0.044148	0.025809	-0.199944	0.009796	0.048671	0.022984	0.053735	-0.018638	0.031275	0.030302	0.033285	-0.118817	-0.042043	0.021644	-0.046103	0.106808	0.100884	0.030339	0.162090	-0.018447	-0.012705	0.014910	0.030734	-0.007791	0.024886	-0.123018	0.001376	0.495978	0.039919	-0.184186	0.037910	0.027256	0.002156	0.011690	-0.046536	0.025997	0.025768	-0.034202	-0.009331	0.035480	0.001974	-0.015825	1.000000	0.064095	-0.050484	0.099119	0.088928	-0.007527
X61	0.029694	-0.014136	-0.088394	0.017519	-0.015101	0.002959	0.023425	0.069041	0.186358	0.011550	0.024539	0.047451	-0.045257	0.023425	-0.031475	0.066224	0.068874	0.023425	-0.032723	-0.026549	-0.037186	0.029742	-0.021324	0.036715	-0.031199	0.070166	0.004793	-0.027563	-0.100621	-0.055055	-0.033792	-0.094979	0.220762	0.164732	0.017941	0.254477	-0.023546	0.017737	-0.039175	0.068875	-0.007159	-0.028795	-0.261657	-0.331424	-0.001560	-0.005115	-0.032339	0.010904	-0.008745	0.020631	-0.024945	-0.097338	-0.022968	-0.027044	-0.036200	-0.035181	0.031045	0.036270	-0.004827	0.064095	1.000000	-0.083992	0.207798	-0.002522	0.030276
X62	-0.250861	0.440811	-0.495326	-0.229352	-0.175027	-0.217785	-0.257842	-0.200977	-0.240642	-0.438798	-0.250840	-0.184640	-0.188770	-0.257842	0.038524	-0.199348	-0.202301	-0.257842	-0.277950	0.245437	-0.038579	-0.235795	-0.282778	-0.265947	-0.362981	-0.194568	-0.055650	-0.093886	0.043529	0.653823	-0.239274	0.899971	-0.352620	-0.253272	-0.221318	-0.285233	-0.037156	-0.456050	-0.225204	-0.152690	0.048405	-0.231649	0.388816	0.319762	-0.055080	-0.208200	0.187896	-0.181750	-0.263429	-0.206009	0.467160	0.899221	-0.098328	-0.094540	-0.138856	-0.170505	-0.038208	0.196432	0.030540	-0.050484	-0.083992	1.000000	-0.360310	-0.046612	0.112850
X63	0.262219	-0.422932	0.432203	0.660389	0.094074	0.113263	0.267743	0.565593	0.248781	0.429861	0.261226	0.534873	0.132153	0.267743	-0.077621	0.562941	0.562678	0.267743	0.167760	-0.149188	-0.010280	0.241531	0.165860	0.302337	0.257381	0.557601	0.102855	0.123876	-0.203939	-0.266325	0.153988	-0.343792	0.962957	0.767894	0.220489	0.260379	0.057416	0.431587	0.129841	0.475183	-0.058986	0.139413	-0.214699	-0.165113	0.105844	0.607114	-0.127399	0.193756	0.140632	0.571379	-0.427065	-0.349982	0.132533	0.126542	0.040502	0.114366	0.051558	-0.116889	-0.051645	0.099119	0.207798	-0.360310	1.000000	0.059845	-0.036863
X64	0.085770	0.096082	0.157224	0.001896	0.011541	-0.044645	0.093204	-0.040020	0.318450	-0.085226	0.105199	0.019532	-0.064552	0.093204	-0.001431	0.010117	-0.042126	0.093204	-0.004768	-0.060456	0.055601	0.092011	-0.003441	0.090131	-0.076002	0.006789	0.032708	0.639614	-0.214109	-0.071752	-0.010437	-0.051009	0.060970	0.124358	0.089957	0.319847	-0.017306	-0.150795	-0.004497	-0.000346	-0.017749	-0.011805	-0.035465	0.002756	0.019227	0.010683	-0.058678	0.117606	0.051121	0.023268	0.174539	-0.051197	0.598085	0.626908	-0.033077	-0.013294	0.083341	0.015929	-0.053065	0.088928	-0.002522	-0.046612	0.059845	1.000000	0.019463
Y	-0.134760	0.134314	-0.115082	-0.034051	-0.034416	-0.086000	-0.129394	-0.033225	0.025727	-0.134494	-0.112575	-0.064431	-0.158291	-0.129394	-0.010187	-0.056716	-0.033357	-0.129394	-0.151109	0.041837	-0.038726	-0.104896	-0.154530	-0.098969	-0.141141	-0.057583	-0.014134	0.006079	-0.054219	0.074171	-0.132333	0.084014	-0.017627	0.006486	-0.125173	0.040802	-0.019135	-0.145158	-0.153017	-0.015337	-0.033387	-0.125781	0.016834	-0.012328	-0.038719	-0.041958	0.005362	-0.069660	-0.085891	-0.025806	0.135798	0.069139	0.000441	0.004577	-0.050236	-0.096796	-0.034488	0.084157	0.017292	-0.007527	0.030276	0.112850	-0.036863	0.019463	1.000000

--------------------------------------------------------------------------
For df5

	X1	X2	X3	X4	X5	X6	X7	X8	X9	X10	X11	X12	X13	X14	X15	X16	X17	X18	X19	X20	X21	X22	X23	X24	X25	X26	X27	X28	X29	X30	X31	X32	X33	X34	X35	X36	X37	X38	X39	X40	X41	X42	X43	X44	X45	X46	X47	X48	X49	X50	X51	X52	X53	X54	X55	X56	X57	X58	X59	X60	X61	X62	X63	X64	Y
X1	1.000000	-0.367178	0.424074	0.197707	0.276915	0.362079	0.981458	0.143738	0.116937	0.380774	0.954031	0.623463	0.684558	0.981458	-0.012131	0.546394	0.139728	0.981458	0.789106	-0.143970	0.250574	0.890173	0.806520	0.746389	0.386057	0.556967	0.131642	0.170895	-0.002814	-0.292155	0.768021	-0.230323	0.187264	0.193086	0.784831	0.090209	0.051287	0.341733	0.612724	0.146023	-0.026573	0.715213	-0.113910	-0.021350	0.347388	0.212629	-0.068230	0.783478	0.654207	0.196134	-0.320085	-0.222345	0.179289	0.174989	0.105703	0.437470	0.359249	-0.466608	-0.050620	0.033284	-0.068736	-0.317749	0.283767	0.091275	-0.228388
X2	-0.367178	1.000000	-0.687736	-0.494498	-0.510903	-0.382876	-0.371677	-0.506584	0.151006	-0.978792	-0.307289	-0.388218	-0.421422	-0.371677	0.103288	-0.456345	-0.511426	-0.371677	-0.409865	0.004491	0.057278	-0.252426	-0.396174	-0.381462	-0.787698	-0.452219	-0.088025	-0.137566	-0.075656	0.542604	-0.377950	0.430116	-0.454907	-0.313876	-0.264438	0.216621	-0.112170	-0.850831	-0.281754	-0.373658	0.065162	-0.293143	0.003386	0.000438	-0.138852	-0.467936	-0.038638	-0.207469	-0.201665	-0.508175	0.851578	0.425145	-0.164263	-0.148015	-0.225154	-0.213735	0.031231	0.249471	0.204692	0.013422	0.029243	0.521141	-0.477785	0.089354	0.201201
X3	0.424074	-0.687736	1.000000	0.573552	0.604582	0.252082	0.436719	0.337343	0.092479	0.697031	0.402601	0.376801	0.320772	0.436719	-0.061096	0.393656	0.334314	0.436719	0.394622	0.109602	0.012562	0.333558	0.385024	0.403509	0.544512	0.389313	0.127006	0.355940	-0.170896	-0.522026	0.368564	-0.465152	0.464638	0.398595	0.331509	0.017194	0.094112	0.651957	0.256936	0.412509	-0.048570	0.286386	0.153079	0.107125	0.125613	0.533883	0.132878	0.313507	0.287402	0.551704	-0.647817	-0.461566	0.353553	0.354212	0.230718	0.226547	0.050767	-0.250026	-0.105156	-0.011303	-0.118473	-0.555095	0.491854	0.165058	-0.184199
X4	0.197707	-0.494498	0.573552	1.000000	0.499104	0.106245	0.202892	0.717837	-0.049707	0.498862	0.177187	0.545467	0.255819	0.202892	-0.068794	0.563189	0.715902	0.202892	0.269295	0.118907	-0.045620	0.132050	0.259148	0.206506	0.346556	0.563767	0.114468	0.207418	-0.093885	-0.374273	0.256260	-0.290948	0.625221	0.474620	0.123422	-0.130788	0.095994	0.475599	0.157546	0.805647	-0.048937	0.188035	0.132966	0.070882	0.054178	0.928834	0.123991	0.131337	0.151856	0.924082	-0.475608	-0.291437	0.212450	0.209318	0.137891	0.134712	0.019434	-0.162315	-0.069833	-0.015955	-0.011751	-0.323515	0.668448	0.017085	-0.074671
X5	0.276915	-0.510903	0.604582	0.499104	1.000000	0.206009	0.289997	0.371813	0.052164	0.512423	0.259716	0.319569	0.305091	0.289997	-0.053846	0.313729	0.371605	0.289997	0.373922	-0.222829	0.023468	0.210748	0.355609	0.285672	0.400052	0.303487	0.077074	0.174008	-0.073681	-0.551126	0.351946	-0.507474	0.325314	0.228097	0.183505	-0.011954	0.090037	0.486623	0.200099	0.449383	-0.054082	0.262874	0.019072	0.234489	0.134219	0.549797	-0.176389	0.215682	0.265073	0.468439	-0.490401	-0.487637	0.177222	0.174242	0.216447	0.116914	0.049110	-0.160392	-0.066098	0.049484	-0.099839	-0.551797	0.337275	0.041379	-0.128416
X6	0.362079	-0.382876	0.252082	0.106245	0.206009	1.000000	0.370958	0.113427	-0.194214	0.361648	0.319426	0.227759	0.337953	0.370958	0.020961	0.221299	0.117858	0.370958	0.380285	-0.066692	-0.003366	0.336453	0.371302	0.526832	0.543335	0.213818	-0.020138	-0.004979	0.272873	-0.225511	0.334174	-0.193096	0.104906	-0.103456	0.352648	-0.070426	0.084874	0.325245	0.344569	0.078461	-0.012668	0.359597	-0.050399	-0.006647	0.102660	0.106436	-0.036890	0.305372	0.320728	0.127419	-0.322655	-0.184260	0.003940	-0.002851	0.189592	0.185192	0.081261	-0.187657	-0.021789	-0.021315	-0.036020	-0.246298	0.117384	-0.063288	-0.156222
X7	0.981458	-0.371677	0.436719	0.202892	0.289997	0.370958	1.000000	0.148116	0.130638	0.384776	0.970812	0.646068	0.693238	1.000000	-0.019272	0.562854	0.144062	1.000000	0.803674	-0.159327	0.256862	0.920766	0.788058	0.765683	0.388421	0.554249	0.133124	0.177496	-0.010438	-0.304243	0.772307	-0.244682	0.200212	0.204623	0.816262	0.103582	0.055831	0.342249	0.634613	0.154340	-0.036523	0.739661	-0.127338	-0.025377	0.354096	0.221725	-0.083432	0.814429	0.680675	0.202251	-0.321915	-0.237457	0.185503	0.181176	0.111366	0.433814	0.358314	-0.465588	-0.058333	0.043114	-0.063942	-0.329839	0.295703	0.097623	-0.217200
X8	0.143738	-0.506584	0.337343	0.717837	0.371813	0.113427	0.148116	1.000000	-0.087603	0.508407	0.120821	0.469642	0.239151	0.148116	-0.074123	0.607534	0.995396	0.148116	0.222258	0.028260	-0.022973	0.095351	0.204073	0.146703	0.363404	0.589449	0.063311	0.074492	-0.029835	-0.339930	0.212505	-0.229239	0.515208	0.386707	0.090428	-0.172703	0.089603	0.447598	0.133361	0.611605	-0.049876	0.156529	0.039904	0.028216	0.073784	0.681991	0.038720	0.093089	0.096855	0.777367	-0.433116	-0.229601	0.087449	0.079763	0.103841	0.089363	-0.004439	-0.108382	-0.105906	0.007281	0.078632	-0.254677	0.554937	-0.041926	-0.056407
X9	0.116937	0.151006	0.092479	-0.049707	0.052164	-0.194214	0.130638	-0.087603	1.000000	-0.111153	0.172210	0.039755	-0.088552	0.130638	-0.011641	0.031188	-0.094335	0.130638	0.002703	-0.242627	0.108062	0.128493	0.006802	0.121147	-0.196868	0.029599	0.048724	0.099825	-0.459071	-0.196054	0.001351	-0.223542	0.260889	0.488643	0.074733	0.742771	-0.043214	-0.187252	-0.035794	-0.050877	-0.003664	-0.024162	-0.319431	-0.210522	0.040977	-0.035736	-0.188842	0.106338	0.075238	-0.024535	0.228466	-0.225077	0.097790	0.099677	-0.081561	0.006802	0.133772	-0.007078	-0.058912	0.137569	0.137741	-0.240021	0.251998	0.314371	0.066605
X10	0.380774	-0.978792	0.697031	0.498862	0.512423	0.361648	0.384776	0.508407	-0.111153	1.000000	0.328223	0.395849	0.421572	0.384776	-0.097107	0.458768	0.501709	0.384776	0.418066	-0.001697	-0.052472	0.264286	0.405716	0.395773	0.779237	0.454677	0.096622	0.147918	0.024863	-0.537483	0.391226	-0.425280	0.458170	0.362475	0.274256	-0.204788	0.097634	0.877201	0.285323	0.371032	-0.054564	0.299344	0.004488	0.007731	0.142998	0.470007	0.046255	0.217594	0.214651	0.508393	-0.837926	-0.422794	0.177386	0.161748	0.204947	0.242411	-0.031610	-0.276993	-0.203583	-0.016089	-0.030900	-0.524762	0.485040	-0.076545	-0.203469
X11	0.954031	-0.307289	0.402601	0.177187	0.259716	0.319426	0.970812	0.120821	0.172210	0.328223	1.000000	0.623903	0.650211	0.970812	-0.018717	0.535405	0.115622	0.970812	0.761798	-0.159096	0.256089	0.912449	0.750946	0.741508	0.320199	0.527238	0.123128	0.173700	-0.051130	-0.269534	0.737898	-0.219931	0.180911	0.217923	0.806836	0.118160	0.042072	0.298203	0.615020	0.136155	-0.029808	0.718927	-0.132423	-0.032557	0.350748	0.197203	-0.086361	0.810279	0.667907	0.174489	-0.272607	-0.213144	0.179852	0.177244	0.089622	0.419066	0.358197	-0.438064	-0.041667	0.050933	-0.058340	-0.298168	0.274537	0.113737	-0.203086
X12	0.623463	-0.388218	0.376801	0.545467	0.319569	0.227759	0.646068	0.469642	0.039755	0.395849	0.623903	1.000000	0.594517	0.646068	-0.059400	0.865309	0.465612	0.646068	0.666096	-0.074987	0.111971	0.573040	0.639238	0.535541	0.327902	0.842944	0.182632	0.142623	-0.029796	-0.284718	0.641222	-0.231383	0.427091	0.323580	0.515796	-0.015878	0.074732	0.365792	0.512298	0.454113	-0.053252	0.603048	-0.081052	-0.040865	0.249196	0.532325	-0.022206	0.513165	0.535457	0.490168	-0.360137	-0.229881	0.151277	0.146699	0.097089	0.362970	0.217575	-0.397492	-0.076654	0.026126	0.069000	-0.277880	0.581374	0.027625	-0.104693
X13	0.684558	-0.421422	0.320772	0.255819	0.305091	0.337953	0.693238	0.239151	-0.088552	0.421572	0.650211	0.594517	1.000000	0.693238	-0.021033	0.592305	0.243313	0.693238	0.896817	-0.055811	0.134375	0.593385	0.874466	0.536192	0.398345	0.590514	0.090012	0.055676	0.127136	-0.262193	0.874224	-0.084195	0.079710	0.062788	0.513884	-0.182186	0.056435	0.411807	0.645835	0.230527	-0.069753	0.792880	0.018956	0.078148	0.294755	0.269527	0.099403	0.380160	0.491092	0.226634	-0.415698	-0.071716	0.064834	0.059801	0.157818	0.545677	0.241755	-0.613800	-0.036902	0.001124	-0.054486	-0.272404	0.177354	-0.049000	-0.225527
X14	0.981458	-0.371677	0.436719	0.202892	0.289997	0.370958	1.000000	0.148116	0.130638	0.384776	0.970812	0.646068	0.693238	1.000000	-0.019272	0.562854	0.144062	1.000000	0.803674	-0.159327	0.256862	0.920766	0.788058	0.765683	0.388421	0.554249	0.133124	0.177496	-0.010438	-0.304243	0.772307	-0.244682	0.200212	0.204623	0.816262	0.103582	0.055831	0.342249	0.634613	0.154340	-0.036523	0.739661	-0.127338	-0.025377	0.354096	0.221725	-0.083432	0.814429	0.680675	0.202251	-0.321915	-0.237457	0.185503	0.181176	0.111366	0.433814	0.358314	-0.465588	-0.058333	0.043114	-0.063942	-0.329839	0.295703	0.097623	-0.217200
X15	-0.012131	0.103288	-0.061096	-0.068794	-0.053846	0.020961	-0.019272	-0.074123	-0.011641	-0.097107	-0.018717	-0.059400	-0.021033	-0.019272	1.000000	-0.077947	-0.075283	-0.019272	0.004378	0.026049	0.032646	-0.012755	0.010507	-0.027738	-0.054712	-0.076473	-0.015727	-0.014012	0.038315	0.097173	0.008054	0.061755	-0.084906	-0.058294	-0.012404	-0.012248	-0.023644	-0.075085	0.001020	-0.052153	0.122245	0.004761	0.043832	0.035662	-0.007664	-0.065929	0.025125	0.012029	0.030184	-0.073847	0.081991	0.067464	-0.014872	-0.013550	-0.014010	-0.009220	-0.026942	0.009412	0.068573	-0.000994	-0.044586	0.064229	-0.087516	0.010088	-0.049243
X16	0.546394	-0.456345	0.393656	0.563189	0.313729	0.221299	0.562854	0.607534	0.031188	0.458768	0.535405	0.865309	0.592305	0.562854	-0.077947	1.000000	0.604703	0.562854	0.570248	-0.068434	0.084912	0.487680	0.546894	0.470647	0.357530	0.983234	0.155100	0.120688	-0.039934	-0.324641	0.546609	-0.220162	0.447016	0.387330	0.443425	-0.024775	0.087585	0.400803	0.434445	0.475622	-0.069738	0.505193	-0.081149	-0.047126	0.222459	0.543874	0.012711	0.355626	0.360426	0.606663	-0.388364	-0.217913	0.133940	0.126861	0.104118	0.359274	0.165390	-0.387959	-0.096516	0.023304	0.080164	-0.293183	0.571912	0.012302	-0.109044
X17	0.139728	-0.511426	0.334314	0.715902	0.371605	0.117858	0.144062	0.995396	-0.094335	0.501709	0.115622	0.465612	0.243313	0.144062	-0.075283	0.604703	1.000000	0.144062	0.222647	0.028196	-0.025893	0.091493	0.204381	0.142188	0.364876	0.586983	0.060107	0.072014	-0.017966	-0.341551	0.211360	-0.230075	0.510502	0.368995	0.087072	-0.177370	0.094490	0.439439	0.134331	0.616902	-0.051588	0.156809	0.037946	0.025595	0.073654	0.682955	0.036992	0.089793	0.093080	0.775900	-0.436669	-0.230141	0.084213	0.076433	0.109876	0.081089	-0.005209	-0.099943	-0.106439	0.007094	0.076580	-0.253895	0.548016	-0.044461	-0.056013
X18	0.981458	-0.371677	0.436719	0.202892	0.289997	0.370958	1.000000	0.148116	0.130638	0.384776	0.970812	0.646068	0.693238	1.000000	-0.019272	0.562854	0.144062	1.000000	0.803674	-0.159327	0.256862	0.920766	0.788058	0.765683	0.388421	0.554249	0.133124	0.177496	-0.010438	-0.304243	0.772307	-0.244682	0.200212	0.204623	0.816262	0.103582	0.055831	0.342249	0.634613	0.154340	-0.036523	0.739661	-0.127338	-0.025377	0.354096	0.221725	-0.083432	0.814429	0.680675	0.202251	-0.321915	-0.237457	0.185503	0.181176	0.111366	0.433814	0.358314	-0.465588	-0.058333	0.043114	-0.063942	-0.329839	0.295703	0.097623	-0.217200
X19	0.789106	-0.409865	0.394622	0.269295	0.373922	0.380285	0.803674	0.222258	0.002703	0.418066	0.761798	0.666096	0.896817	0.803674	0.004378	0.570248	0.222647	0.803674	1.000000	-0.106846	0.188313	0.711796	0.977396	0.625665	0.415343	0.558689	0.112368	0.111393	0.081359	-0.362103	0.954011	-0.234182	0.139108	0.123510	0.621788	-0.058084	0.071717	0.378566	0.734206	0.235388	-0.043099	0.888161	-0.034894	0.052134	0.327020	0.285660	-0.014933	0.631050	0.782713	0.250651	-0.365043	-0.223963	0.119457	0.114657	0.170525	0.479317	0.296794	-0.548847	-0.067839	0.013595	-0.048665	-0.359263	0.224819	0.016391	-0.224468
X20	-0.143970	0.004491	0.109602	0.118907	-0.222829	-0.066692	-0.159327	0.028260	-0.242627	-0.001697	-0.159096	-0.074987	-0.055811	-0.159327	0.026049	-0.068434	0.028196	-0.159327	-0.106846	1.000000	-0.101713	-0.151910	-0.091032	-0.149287	-0.028145	-0.061449	0.003719	-0.022734	0.067363	0.225695	-0.090928	0.258837	-0.157922	-0.107814	-0.127670	-0.338989	-0.009386	0.023882	-0.054800	-0.040332	-0.000036	-0.085678	0.683149	0.000336	-0.133222	-0.074216	0.865977	-0.114354	-0.118586	0.099889	-0.019442	0.255596	-0.026843	-0.020956	0.059835	0.026098	-0.089380	0.001133	0.014077	-0.241550	0.026848	0.274770	-0.149639	-0.070036	0.022979
X21	0.250574	0.057278	0.012562	-0.045620	0.023468	-0.003366	0.256862	-0.022973	0.108062	-0.052472	0.256089	0.111971	0.134375	0.256862	0.032646	0.084912	-0.025893	0.256862	0.188313	-0.101713	1.000000	0.244446	0.187345	0.038727	-0.015211	0.084640	0.046473	0.007110	0.049120	-0.043585	0.187676	-0.043627	-0.023679	0.008819	0.240440	0.105708	0.025857	-0.049617	0.179934	-0.027580	-0.011903	0.183640	-0.091103	-0.029635	0.062870	-0.025294	-0.071429	0.229525	0.197886	-0.041049	0.058498	-0.037666	0.002768	0.003954	0.019478	0.113491	0.132632	-0.095604	0.023327	0.019382	-0.040536	-0.065603	0.002218	0.050996	-0.113787
X22	0.890173	-0.252426	0.333558	0.132050	0.210748	0.336453	0.920766	0.095351	0.128493	0.264286	0.912449	0.573040	0.593385	0.920766	-0.012755	0.487680	0.091493	0.920766	0.711796	-0.151910	0.244446	1.000000	0.687465	0.703798	0.292132	0.471404	0.119785	0.148574	0.002588	-0.227180	0.617232	-0.213978	0.166951	0.166015	0.876401	0.114955	0.039376	0.255073	0.677644	0.094351	-0.060651	0.794498	-0.135267	-0.043170	0.334271	0.152462	-0.104123	0.902474	0.744504	0.134744	-0.231778	-0.206967	0.153693	0.151852	0.082638	0.335615	0.342384	-0.351837	-0.014998	0.041827	-0.052473	-0.270225	0.234249	0.095345	-0.201368
X23	0.806520	-0.396174	0.385024	0.259148	0.355609	0.371302	0.788058	0.204073	0.006802	0.405716	0.750946	0.639238	0.874466	0.788058	0.010507	0.546894	0.204381	0.788058	0.977396	-0.091032	0.187345	0.687465	1.000000	0.612745	0.406934	0.557164	0.113080	0.105606	0.079271	-0.354693	0.941822	-0.219995	0.133213	0.120277	0.599506	-0.048590	0.065116	0.366508	0.710066	0.219466	-0.036037	0.854517	-0.024094	0.052134	0.323776	0.271596	0.000011	0.606471	0.755032	0.241196	-0.350172	-0.208645	0.113770	0.109064	0.160902	0.481293	0.300456	-0.542852	-0.060345	0.010298	-0.056541	-0.349969	0.218207	0.017823	-0.232723
X24	0.746389	-0.381462	0.403509	0.206506	0.285672	0.526832	0.765683	0.146703	0.121147	0.395773	0.741508	0.535541	0.536192	0.765683	-0.027738	0.470647	0.142188	0.765683	0.625665	-0.149287	0.038727	0.703798	0.612745	1.000000	0.408127	0.460459	0.132477	0.169528	-0.002047	-0.307355	0.600619	-0.249044	0.229048	0.233695	0.635069	0.099933	0.040846	0.338789	0.499438	0.157377	-0.037188	0.572075	-0.124343	-0.030665	0.285239	0.218536	-0.081148	0.621668	0.530030	0.212375	-0.314354	-0.242970	0.182598	0.176139	0.104583	0.362846	0.256990	-0.370347	-0.065767	0.053934	-0.028463	-0.323157	0.299247	0.103754	-0.112844
X25	0.386057	-0.787698	0.544512	0.346556	0.400052	0.543335	0.388421	0.363404	-0.196868	0.779237	0.320199	0.327902	0.398345	0.388421	-0.054712	0.357530	0.364876	0.388421	0.415343	-0.028145	-0.015211	0.292132	0.406934	0.408127	1.000000	0.352731	0.063371	0.126012	0.204389	-0.428111	0.379228	-0.346123	0.300463	0.095967	0.294712	-0.189665	0.108417	0.682252	0.304732	0.269252	-0.039186	0.328847	-0.006692	0.017154	0.140648	0.343575	0.010064	0.258988	0.262097	0.365271	-0.662798	-0.336069	0.148915	0.136099	0.228007	0.196947	0.010103	-0.227706	-0.144595	-0.031504	-0.053724	-0.416113	0.321545	-0.069046	-0.222610
X26	0.556967	-0.452219	0.389313	0.563767	0.303487	0.213818	0.554249	0.589449	0.029599	0.454677	0.527238	0.842944	0.590514	0.554249	-0.076473	0.983234	0.586983	0.554249	0.558689	-0.061449	0.084640	0.471404	0.557164	0.460459	0.352731	1.000000	0.153562	0.112968	-0.037548	-0.319073	0.542672	-0.212521	0.436663	0.380180	0.427664	-0.024019	0.082590	0.398084	0.416520	0.464607	-0.067395	0.486184	-0.074270	-0.044237	0.217120	0.537706	0.022581	0.330643	0.334520	0.606227	-0.385470	-0.210011	0.126244	0.119220	0.099208	0.364758	0.169262	-0.392885	-0.094408	0.020158	0.052696	-0.289621	0.564961	0.009241	-0.111925
X27	0.131642	-0.088025	0.127006	0.114468	0.077074	-0.020138	0.133124	0.063311	0.048724	0.096622	0.123128	0.182632	0.090012	0.133124	-0.015727	0.155100	0.060107	0.133124	0.112368	0.003719	0.046473	0.119785	0.113080	0.132477	0.063371	0.153562	1.000000	0.054286	-0.094888	-0.066497	0.104874	-0.043541	0.093783	0.155899	0.108147	0.018753	-0.003308	0.079329	0.090479	0.091558	-0.014076	0.103739	0.007090	0.006230	0.076672	0.112136	0.014502	0.108040	0.100116	0.111018	-0.072554	-0.043324	0.056878	0.055343	-0.017344	0.067921	0.036920	-0.070982	-0.025488	0.021843	-0.004044	-0.052061	0.122323	0.020877	-0.022604
X28	0.170895	-0.137566	0.355940	0.207418	0.174008	-0.004979	0.177496	0.074492	0.099825	0.147918	0.173700	0.142623	0.055676	0.177496	-0.014012	0.120688	0.072014	0.177496	0.111393	-0.022734	0.007110	0.148574	0.105606	0.169528	0.126012	0.112968	0.054286	1.000000	-0.161102	-0.149809	0.101449	-0.095561	0.127925	0.175352	0.139296	0.071132	0.003908	0.104301	0.069924	0.227080	-0.012740	0.080433	0.030872	0.063533	0.053830	0.237825	-0.013541	0.167204	0.118447	0.215650	-0.095234	-0.095680	0.990684	0.992939	-0.001624	0.060539	0.048606	-0.068390	-0.050400	0.019675	-0.040799	-0.111926	0.136610	0.715325	-0.010352
X29	-0.002814	-0.075656	-0.170896	-0.093885	-0.073681	0.272873	-0.010438	-0.029835	-0.459071	0.024863	-0.051130	-0.029796	0.127136	-0.010438	0.038315	-0.039934	-0.017966	-0.010438	0.081359	0.067363	0.049120	0.002588	0.079271	-0.002047	0.204389	-0.037548	-0.094888	-0.161102	1.000000	0.140184	0.055758	0.123002	-0.218080	-0.438347	0.077676	-0.344279	0.146390	0.096320	0.194764	-0.070397	0.000888	0.116935	0.086697	0.055725	-0.032970	-0.097247	0.084684	0.003305	0.044670	-0.097382	-0.131662	0.138787	-0.159878	-0.162215	0.356668	0.107575	-0.045907	-0.074956	0.079497	-0.114934	-0.120356	0.107781	-0.205636	-0.221777	-0.116763
X30	-0.292155	0.542604	-0.522026	-0.374273	-0.551126	-0.225511	-0.304243	-0.339930	-0.196054	-0.537483	-0.269534	-0.284718	-0.262193	-0.304243	0.097173	-0.324641	-0.341551	-0.304243	-0.362103	0.225695	-0.043585	-0.227180	-0.354693	-0.307355	-0.428111	-0.319073	-0.066497	-0.149809	0.140184	1.000000	-0.314232	0.592539	-0.386312	-0.298202	-0.203552	-0.250333	-0.098565	-0.342210	-0.176968	-0.369618	0.049551	-0.220645	0.340694	0.255474	-0.117873	-0.385109	0.166045	-0.186279	-0.262115	-0.425323	0.316363	0.584765	-0.163015	-0.152527	-0.150690	-0.124162	-0.074829	0.165245	0.238150	-0.045494	-0.075678	0.689498	-0.390416	-0.086351	0.117637
X31	0.768021	-0.377950	0.368564	0.256260	0.351946	0.334174	0.772307	0.212505	0.001351	0.391226	0.737898	0.641222	0.874224	0.772307	0.008054	0.546609	0.211360	0.772307	0.954011	-0.090928	0.187676	0.617232	0.941822	0.600619	0.379228	0.542672	0.104874	0.101449	0.055758	-0.314232	1.000000	-0.194550	0.114568	0.120180	0.535016	-0.070273	0.056449	0.360870	0.637477	0.217326	-0.027770	0.782057	-0.018010	0.060367	0.305856	0.268402	0.013758	0.533137	0.670607	0.229267	-0.348366	-0.186738	0.108849	0.104801	0.147098	0.512880	0.282049	-0.569287	-0.048403	0.011539	-0.048166	-0.326195	0.215371	0.011932	-0.200449
X32	-0.230323	0.430116	-0.465152	-0.290948	-0.507474	-0.193096	-0.244682	-0.229239	-0.223542	-0.425280	-0.219931	-0.231383	-0.084195	-0.244682	0.061755	-0.220162	-0.230075	-0.244682	-0.234182	0.258837	-0.043627	-0.213978	-0.219995	-0.249044	-0.346123	-0.212521	-0.043541	-0.095561	0.123002	0.592539	-0.194550	1.000000	-0.472145	-0.293905	-0.166146	-0.303279	-0.041352	-0.429363	-0.088743	-0.190603	0.054598	-0.176246	0.422691	0.336762	-0.092582	-0.269784	0.360668	-0.237706	-0.289891	-0.264958	0.440532	0.974894	-0.096572	-0.095749	-0.141621	0.136956	-0.047100	-0.079443	0.029658	-0.053230	-0.113095	0.850930	-0.448106	-0.052775	0.117343
X33	0.187264	-0.454907	0.464638	0.625221	0.325314	0.104906	0.200212	0.515208	0.260889	0.458170	0.180911	0.427091	0.079710	0.200212	-0.084906	0.447016	0.510502	0.200212	0.139108	-0.157922	-0.023679	0.166951	0.133213	0.229048	0.300463	0.436663	0.093783	0.127925	-0.218080	-0.386312	0.114568	-0.472145	1.000000	0.683134	0.129521	0.306752	0.043129	0.445734	0.048813	0.429313	-0.066635	0.089863	-0.263591	-0.213268	0.079385	0.564266	-0.160935	0.151931	0.127942	0.561547	-0.448363	-0.473903	0.131376	0.129312	0.050870	-0.049134	0.034676	0.019544	-0.059992	0.114488	0.217299	-0.483013	0.955694	0.075247	-0.042992
X34	0.193086	-0.313876	0.398595	0.474620	0.228097	-0.103456	0.204623	0.386707	0.488643	0.362475	0.217923	0.323580	0.062788	0.204623	-0.058294	0.387330	0.368995	0.204623	0.123510	-0.107814	0.008819	0.166015	0.120277	0.233695	0.095967	0.380180	0.155899	0.175352	-0.438347	-0.298202	0.120180	-0.293905	0.683134	1.000000	0.128774	0.291449	-0.027152	0.284126	0.041793	0.309032	-0.030438	0.075087	-0.157629	-0.115028	0.076395	0.417885	-0.098403	0.153034	0.116947	0.504725	-0.237224	-0.296632	0.188809	0.183397	-0.079398	0.025282	0.049413	-0.045551	-0.107516	0.090411	0.096586	-0.311083	0.662717	0.157696	0.001821
X35	0.784831	-0.264438	0.331509	0.123422	0.183505	0.352648	0.816262	0.090428	0.074733	0.274256	0.806836	0.515796	0.513884	0.816262	-0.012404	0.443425	0.087072	0.816262	0.621788	-0.127670	0.240440	0.876401	0.599506	0.635069	0.294712	0.427664	0.108147	0.139296	0.077676	-0.203552	0.535016	-0.166146	0.129521	0.128774	1.000000	0.061257	0.038211	0.271090	0.807207	0.080915	-0.037573	0.689994	-0.106800	-0.026856	0.301815	0.138292	-0.059290	0.793840	0.651560	0.127565	-0.244333	-0.161549	0.145019	0.143384	0.078794	0.443774	0.320749	-0.375199	-0.011638	0.025147	-0.078078	-0.244480	0.212726	0.082340	-0.239531
X36	0.090209	0.216621	0.017194	-0.130788	-0.011954	-0.070426	0.103582	-0.172703	0.742771	-0.204788	0.118160	-0.015878	-0.182186	0.103582	-0.012248	-0.024775	-0.177370	0.103582	-0.058084	-0.338989	0.105708	0.114955	-0.048590	0.099933	-0.189665	-0.024019	0.018753	0.071132	-0.344279	-0.250333	-0.070273	-0.303279	0.306752	0.291449	0.061257	1.000000	-0.015480	-0.309191	-0.101469	-0.124858	-0.023318	-0.091133	-0.456239	-0.307748	0.015132	-0.111523	-0.311003	0.093444	0.058487	-0.088849	0.341195	-0.304688	0.067611	0.068114	-0.085410	-0.105475	0.141145	0.097932	-0.083845	0.164651	0.254064	-0.308488	0.274819	0.311646	0.069587
X37	0.051287	-0.112170	0.094112	0.095994	0.090037	0.084874	0.055831	0.089603	-0.043214	0.097634	0.042072	0.074732	0.056435	0.055831	-0.023644	0.087585	0.094490	0.055831	0.071717	-0.009386	0.025857	0.039376	0.065116	0.040846	0.108417	0.082590	-0.003308	0.003908	0.146390	-0.098565	0.056449	-0.041352	0.043129	-0.027152	0.038211	-0.015480	1.000000	0.040256	0.044885	0.092160	-0.005572	0.049927	0.022670	0.039820	-0.001732	0.101890	-0.009524	0.044235	0.052580	0.123690	-0.050521	-0.040794	0.004833	0.000395	0.216716	0.012239	0.003756	-0.015243	-0.058527	0.004286	-0.032571	-0.042494	0.049887	-0.007790	-0.032248
X38	0.341733	-0.850831	0.651957	0.475599	0.486623	0.325245	0.342249	0.447598	-0.187252	0.877201	0.298203	0.365792	0.411807	0.342249	-0.075085	0.400803	0.439439	0.342249	0.378566	0.023882	-0.049617	0.255073	0.366508	0.338789	0.682252	0.398084	0.079329	0.104301	0.096320	-0.342210	0.360870	-0.429363	0.445734	0.284126	0.271090	-0.309191	0.040256	1.000000	0.305502	0.337840	-0.033630	0.317092	0.005815	-0.014370	0.128411	0.436739	0.069819	0.204440	0.202387	0.419716	-0.956557	-0.423752	0.122036	0.121139	0.212829	0.257060	-0.039118	-0.274034	0.035999	-0.032280	-0.030556	-0.532889	0.472737	-0.148208	-0.218558
X39	0.612724	-0.281754	0.256936	0.157546	0.200099	0.344569	0.634613	0.133361	-0.035794	0.285323	0.615020	0.512298	0.645835	0.634613	0.001020	0.434445	0.134331	0.634613	0.734206	-0.054800	0.179934	0.677644	0.710066	0.499438	0.304732	0.416520	0.090479	0.069924	0.194764	-0.176968	0.637477	-0.088743	0.048813	0.041793	0.807207	-0.101469	0.044885	0.305502	1.000000	0.124038	-0.019394	0.820032	-0.003659	0.046236	0.256074	0.164308	0.035584	0.618870	0.732433	0.141093	-0.282100	-0.085647	0.075639	0.073866	0.123013	0.559651	0.245110	-0.471808	0.007456	0.002335	-0.054415	-0.212887	0.136184	-0.003221	-0.248422
X40	0.146023	-0.373658	0.412509	0.805647	0.449383	0.078461	0.154340	0.611605	-0.050877	0.371032	0.136155	0.454113	0.230527	0.154340	-0.052153	0.475622	0.616902	0.154340	0.235388	-0.040332	-0.027580	0.094351	0.219466	0.157377	0.269252	0.464607	0.091558	0.227080	-0.070397	-0.369618	0.217326	-0.190603	0.429313	0.309032	0.080915	-0.124858	0.092160	0.337840	0.124038	1.000000	-0.037026	0.160385	-0.065328	-0.051740	0.071335	0.881524	-0.020062	0.099437	0.122122	0.766072	-0.344256	-0.190680	0.232006	0.227804	0.118386	0.085939	0.016516	-0.119005	-0.062981	0.030001	0.049232	-0.210270	0.461270	0.024543	-0.038989
X41	-0.026573	0.065162	-0.048570	-0.048937	-0.054082	-0.012668	-0.036523	-0.049876	-0.003664	-0.054564	-0.029808	-0.053252	-0.069753	-0.036523	0.122245	-0.069738	-0.051588	-0.036523	-0.043099	-0.000036	-0.011903	-0.060651	-0.036037	-0.037188	-0.039186	-0.067395	-0.014076	-0.012740	0.000888	0.049551	-0.027770	0.054598	-0.066635	-0.030438	-0.037573	-0.023318	-0.005572	-0.033630	-0.019394	-0.037026	1.000000	-0.047564	0.013096	0.017966	-0.031505	-0.045133	0.019116	-0.021577	-0.008738	-0.053383	0.042963	0.065410	-0.011379	-0.010953	-0.029326	0.082111	-0.028166	-0.059019	0.030189	-0.016179	-0.020470	0.039475	-0.057252	-0.010420	-0.071979
X42	0.715213	-0.293143	0.286386	0.188035	0.262874	0.359597	0.739661	0.156529	-0.024162	0.299344	0.718927	0.603048	0.792880	0.739661	0.004761	0.505193	0.156809	0.739661	0.888161	-0.085678	0.183640	0.794498	0.854517	0.572075	0.328847	0.486184	0.103739	0.080433	0.116935	-0.220645	0.782057	-0.176246	0.089863	0.075087	0.689994	-0.091133	0.049927	0.317092	0.820032	0.160385	-0.047564	1.000000	-0.038447	0.027473	0.300687	0.201577	-0.022943	0.718900	0.880816	0.166114	-0.303070	-0.163791	0.085359	0.083385	0.138540	0.414813	0.276898	-0.447018	0.006502	0.006044	-0.046890	-0.265018	0.159501	0.000430	-0.216949
X43	-0.113910	0.003386	0.153079	0.132966	0.019072	-0.050399	-0.127338	0.039904	-0.319431	0.004488	-0.132423	-0.081052	0.018956	-0.127338	0.043832	-0.081149	0.037946	-0.127338	-0.034894	0.683149	-0.091103	-0.135267	-0.024094	-0.124343	-0.006692	-0.074270	0.007090	0.030872	0.086697	0.340694	-0.018010	0.422691	-0.263591	-0.157629	-0.106800	-0.456239	0.022670	0.005815	-0.003659	-0.065328	0.013096	-0.038447	1.000000	0.730509	-0.069205	0.051330	0.593010	-0.074975	-0.087276	0.115815	0.007017	0.417316	0.026350	0.030529	0.079446	0.040192	-0.087160	-0.027266	-0.000581	-0.151593	-0.262011	0.441694	-0.252505	-0.046670	0.000711
X44	-0.021350	0.000438	0.107125	0.070882	0.234489	-0.006647	-0.025377	0.028216	-0.210522	0.007731	-0.032557	-0.040865	0.078148	-0.025377	0.035662	-0.047126	0.025595	-0.025377	0.052134	0.000336	-0.029635	-0.043170	0.052134	-0.030665	0.017154	-0.044237	0.006230	0.063533	0.055725	0.255474	0.060367	0.336762	-0.213268	-0.115028	-0.026856	-0.307748	0.039820	-0.014370	0.046236	-0.051740	0.017966	0.027473	0.730509	1.000000	0.029816	0.139689	0.002234	0.004270	-0.008618	0.065182	0.027790	0.332433	0.061183	0.061400	0.052835	0.030632	-0.035770	-0.038397	-0.013959	0.018298	-0.383887	0.347885	-0.205833	0.001585	-0.020515
X45	0.347388	-0.138852	0.125613	0.054178	0.134219	0.102660	0.354096	0.073784	0.040977	0.142998	0.350748	0.249196	0.294755	0.354096	-0.007664	0.222459	0.073654	0.354096	0.327020	-0.133222	0.062870	0.334271	0.323776	0.285239	0.140648	0.217120	0.076672	0.053830	-0.032970	-0.117873	0.305856	-0.092582	0.079385	0.076395	0.301815	0.015132	-0.001732	0.128411	0.256074	0.071335	-0.031505	0.300687	-0.069205	0.029816	1.000000	0.099660	-0.109685	0.293948	0.262993	0.056058	-0.121404	-0.091399	0.054293	0.053093	0.013638	0.167347	0.126549	-0.186000	-0.010593	0.449228	0.004489	-0.125967	0.113499	0.020711	-0.073401
X46	0.212629	-0.467936	0.533883	0.928834	0.549797	0.106436	0.221725	0.681991	-0.035736	0.470007	0.197203	0.532325	0.269527	0.221725	-0.065929	0.543874	0.682955	0.221725	0.285660	-0.074216	-0.025294	0.152462	0.271596	0.218536	0.343575	0.537706	0.112136	0.237825	-0.097247	-0.385109	0.268402	-0.269784	0.564266	0.417885	0.138292	-0.111523	0.101890	0.436739	0.164308	0.881524	-0.045133	0.201577	0.051330	0.139689	0.099660	1.000000	-0.047175	0.151816	0.164898	0.855809	-0.439373	-0.269800	0.242870	0.238728	0.133220	0.119906	0.031312	-0.153558	-0.073448	0.045394	-0.049751	-0.298888	0.601636	0.037298	-0.072765
X47	-0.068230	-0.038638	0.132878	0.123991	-0.176389	-0.036890	-0.083432	0.038720	-0.188842	0.046255	-0.086361	-0.022206	0.099403	-0.083432	0.025125	0.012711	0.036992	-0.083432	-0.014933	0.865977	-0.071429	-0.104123	0.000011	-0.081148	0.010064	0.022581	0.014502	-0.013541	0.084684	0.166045	0.013758	0.360668	-0.160935	-0.098403	-0.059290	-0.311003	-0.009524	0.069819	0.035584	-0.020062	0.019116	-0.022943	0.593010	0.002234	-0.109685	-0.047175	1.000000	-0.152554	-0.140425	0.100964	-0.063198	0.377676	-0.015439	-0.011345	0.074696	0.300248	-0.056783	-0.261979	0.010277	-0.214195	0.005721	0.200100	-0.114480	-0.062575	-0.018767
X48	0.783478	-0.207469	0.313507	0.131337	0.215682	0.305372	0.814429	0.093089	0.106338	0.217594	0.810279	0.513165	0.380160	0.814429	0.012029	0.355626	0.089793	0.814429	0.631050	-0.114354	0.229525	0.902474	0.606471	0.621668	0.258988	0.330643	0.108040	0.167204	0.003305	-0.186279	0.533137	-0.237706	0.151931	0.153034	0.793840	0.093444	0.044235	0.204440	0.618870	0.099437	-0.021577	0.718900	-0.074975	0.004270	0.293948	0.151816	-0.152554	1.000000	0.830843	0.134904	-0.179173	-0.234577	0.169685	0.168839	0.083125	0.162569	0.306789	-0.181022	-0.022412	0.032172	-0.065156	-0.206205	0.191967	0.125536	-0.152643
X49	0.654207	-0.201665	0.287402	0.151856	0.265073	0.320728	0.680675	0.096855	0.075238	0.214651	0.667907	0.535457	0.491092	0.680675	0.030184	0.360426	0.093080	0.680675	0.782713	-0.118586	0.197886	0.744504	0.755032	0.530030	0.262097	0.334520	0.100116	0.118447	0.044670	-0.262115	0.670607	-0.289891	0.127942	0.116947	0.651560	0.058487	0.052580	0.202387	0.732433	0.122122	-0.008738	0.880816	-0.087276	-0.008618	0.262993	0.164898	-0.140425	0.830843	1.000000	0.145758	-0.173185	-0.282483	0.120731	0.119751	0.117215	0.237409	0.269186	-0.264914	-0.020316	0.017163	-0.029444	-0.286606	0.167470	0.068648	-0.162718
X50	0.196134	-0.508175	0.551704	0.924082	0.468439	0.127419	0.202251	0.777367	-0.024535	0.508393	0.174489	0.490168	0.226634	0.202251	-0.073847	0.606663	0.775900	0.202251	0.250651	0.099889	-0.041049	0.134744	0.241196	0.212375	0.365271	0.606227	0.111018	0.215650	-0.097382	-0.425323	0.229267	-0.264958	0.561547	0.504725	0.127565	-0.088849	0.123690	0.419716	0.141093	0.766072	-0.053383	0.166114	0.115815	0.065182	0.056058	0.855809	0.100964	0.134904	0.145758	1.000000	-0.403431	-0.265415	0.227902	0.220091	0.136302	0.100089	0.018723	-0.125142	-0.129210	-0.019663	-0.017777	-0.290984	0.586282	0.041498	-0.064568
X51	-0.320085	0.851578	-0.647817	-0.475608	-0.490401	-0.322655	-0.321915	-0.433116	0.228466	-0.837926	-0.272607	-0.360137	-0.415698	-0.321915	0.081991	-0.388364	-0.436669	-0.321915	-0.365043	-0.019442	0.058498	-0.231778	-0.350172	-0.314354	-0.662798	-0.385470	-0.072554	-0.095234	-0.131662	0.316363	-0.348366	0.440532	-0.448363	-0.237224	-0.244333	0.341195	-0.050521	-0.956557	-0.282100	-0.344256	0.042963	-0.303070	0.007017	0.027790	-0.121404	-0.439373	-0.063198	-0.179173	-0.173185	-0.403431	1.000000	0.434014	-0.101719	-0.100199	-0.227689	-0.228274	0.037948	0.252528	-0.039509	0.023998	0.024683	0.537225	-0.473482	0.168756	0.201175
X52	-0.222345	0.425145	-0.461566	-0.291437	-0.487637	-0.184260	-0.237457	-0.229601	-0.225077	-0.422794	-0.213144	-0.229881	-0.071716	-0.237457	0.067464	-0.217913	-0.230141	-0.237457	-0.223963	0.255596	-0.037666	-0.206967	-0.208645	-0.242970	-0.336069	-0.210011	-0.043324	-0.095680	0.138787	0.584765	-0.186738	0.974894	-0.473903	-0.296632	-0.161549	-0.304688	-0.040794	-0.423752	-0.085647	-0.190680	0.065410	-0.163791	0.417316	0.332433	-0.091399	-0.269800	0.377676	-0.234577	-0.282483	-0.265415	0.434014	1.000000	-0.096810	-0.095809	-0.140137	0.137520	-0.045725	-0.079578	0.032447	-0.052656	-0.112448	0.840847	-0.448029	-0.053039	0.092093
X53	0.179289	-0.164263	0.353553	0.212450	0.177222	0.003940	0.185503	0.087449	0.097790	0.177386	0.179852	0.151277	0.064834	0.185503	-0.014872	0.133940	0.084213	0.185503	0.119457	-0.026843	0.002768	0.153693	0.113770	0.182598	0.148915	0.126244	0.056878	0.990684	-0.159878	-0.163015	0.108849	-0.096572	0.131376	0.188809	0.145019	0.067611	0.004833	0.122036	0.075639	0.232006	-0.011379	0.085359	0.026350	0.061183	0.054293	0.242870	-0.015439	0.169685	0.120731	0.227902	-0.101719	-0.096810	1.000000	0.997736	-0.002434	0.066947	0.047643	-0.075395	-0.063274	0.018311	-0.040754	-0.114408	0.141097	0.697991	-0.013723
X54	0.174989	-0.148015	0.354212	0.209318	0.174242	-0.002851	0.181176	0.079763	0.099677	0.161748	0.177244	0.146699	0.059801	0.181176	-0.013550	0.126861	0.076433	0.181176	0.114657	-0.020956	0.003954	0.151852	0.109064	0.176139	0.136099	0.119220	0.055343	0.992939	-0.162215	-0.152527	0.104801	-0.095749	0.129312	0.183397	0.143384	0.068114	0.000395	0.121139	0.073866	0.227804	-0.010953	0.083385	0.030529	0.061400	0.053093	0.238728	-0.011345	0.168839	0.119751	0.220091	-0.100199	-0.095809	0.997736	1.000000	-0.002911	0.065210	0.049661	-0.072559	-0.048278	0.017444	-0.041068	-0.113137	0.138560	0.700231	-0.012573
X55	0.105703	-0.225154	0.230718	0.137891	0.216447	0.189592	0.111366	0.103841	-0.081561	0.204947	0.089622	0.097089	0.157818	0.111366	-0.014010	0.104118	0.109876	0.111366	0.170525	0.059835	0.019478	0.082638	0.160902	0.104583	0.228007	0.099208	-0.017344	-0.001624	0.356668	-0.150690	0.147098	-0.141621	0.050870	-0.079398	0.078794	-0.085410	0.216716	0.212829	0.123013	0.118386	-0.029326	0.138540	0.079446	0.052835	0.013638	0.133220	0.074696	0.083125	0.117215	0.136302	-0.227689	-0.140137	-0.002434	-0.002911	1.000000	0.093302	0.022935	-0.095084	-0.010990	-0.032828	-0.036491	-0.169687	0.060526	-0.040505	-0.074845
X56	0.437470	-0.213735	0.226547	0.134712	0.116914	0.185192	0.433814	0.089363	0.006802	0.242411	0.419066	0.362970	0.545677	0.433814	-0.009220	0.359274	0.081089	0.433814	0.479317	0.026098	0.113491	0.335615	0.481293	0.362846	0.196947	0.364758	0.067921	0.060539	0.107575	-0.124162	0.512880	0.136956	-0.049134	0.025282	0.443774	-0.105475	0.012239	0.257060	0.559651	0.085939	0.082111	0.414813	0.040192	0.030632	0.167347	0.119906	0.300248	0.162569	0.237409	0.100089	-0.228274	0.137520	0.066947	0.065210	0.093302	1.000000	0.161662	-0.884461	0.000489	-0.022067	-0.047063	-0.175410	0.115737	-0.010792	-0.141949
X57	0.359249	0.031231	0.050767	0.019434	0.049110	0.081261	0.358314	-0.004439	0.133772	-0.031610	0.358197	0.217575	0.241755	0.358314	-0.026942	0.165390	-0.005209	0.358314	0.296794	-0.089380	0.132632	0.342384	0.300456	0.256990	0.010103	0.169262	0.036920	0.048606	-0.045907	-0.074829	0.282049	-0.047100	0.034676	0.049413	0.320749	0.141145	0.003756	-0.039118	0.245110	0.016516	-0.028166	0.276898	-0.087160	-0.035770	0.126549	0.031312	-0.056783	0.306789	0.269186	0.018723	0.037948	-0.045725	0.047643	0.049661	0.022935	0.161662	1.000000	-0.167668	-0.125807	0.032903	0.033921	-0.065731	0.069465	0.062813	-0.078984
X58	-0.466608	0.249471	-0.250026	-0.162315	-0.160392	-0.187657	-0.465588	-0.108382	-0.007078	-0.276993	-0.438064	-0.397492	-0.613800	-0.465588	0.009412	-0.387959	-0.099943	-0.465588	-0.548847	0.001133	-0.095604	-0.351837	-0.542852	-0.370347	-0.227706	-0.392885	-0.070982	-0.068390	-0.074956	0.165245	-0.569287	-0.079443	0.019544	-0.045551	-0.375199	0.097932	-0.015243	-0.274034	-0.471808	-0.119005	-0.059019	-0.447018	-0.027266	-0.038397	-0.186000	-0.153558	-0.261979	-0.181022	-0.264914	-0.125142	0.252528	-0.079578	-0.075395	-0.072559	-0.095084	-0.884461	-0.167668	1.000000	0.026191	0.018990	0.047662	0.211096	-0.133544	0.012635	0.129372
X59	-0.050620	0.204692	-0.105156	-0.069833	-0.066098	-0.021789	-0.058333	-0.105906	-0.058912	-0.203583	-0.041667	-0.076654	-0.036902	-0.058333	0.068573	-0.096516	-0.106439	-0.058333	-0.067839	0.014077	0.023327	-0.014998	-0.060345	-0.065767	-0.144595	-0.094408	-0.025488	-0.050400	0.079497	0.238150	-0.048403	0.029658	-0.059992	-0.107516	-0.011638	-0.083845	-0.058527	0.035999	0.007456	-0.062981	0.030189	0.006502	-0.000581	-0.013959	-0.010593	-0.073448	0.010277	-0.022412	-0.020316	-0.129210	-0.039509	0.032447	-0.063274	-0.048278	-0.010990	0.000489	-0.125807	0.026191	1.000000	-0.007928	0.001898	0.026428	-0.062555	-0.057556	0.009578
X60	0.033284	0.013422	-0.011303	-0.015955	0.049484	-0.021315	0.043114	0.007281	0.137569	-0.016089	0.050933	0.026126	0.001124	0.043114	-0.000994	0.023304	0.007094	0.043114	0.013595	-0.241550	0.019382	0.041827	0.010298	0.053934	-0.031504	0.020158	0.021843	0.019675	-0.114934	-0.045494	0.011539	-0.053230	0.114488	0.090411	0.025147	0.164651	0.004286	-0.032280	0.002335	0.030001	-0.016179	0.006044	-0.151593	0.018298	0.449228	0.045394	-0.214195	0.032172	0.017163	-0.019663	0.023998	-0.052656	0.018311	0.017444	-0.032828	-0.022067	0.032903	0.018990	-0.007928	1.000000	0.014984	-0.050473	0.105961	0.062373	0.008185
X61	-0.068736	0.029243	-0.118473	-0.011751	-0.099839	-0.036020	-0.063942	0.078632	0.137741	-0.030900	-0.058340	0.069000	-0.054486	-0.063942	-0.044586	0.080164	0.076580	-0.063942	-0.048665	0.026848	-0.040536	-0.052473	-0.056541	-0.028463	-0.053724	0.052696	-0.004044	-0.040799	-0.120356	-0.075678	-0.048166	-0.113095	0.217299	0.096586	-0.078078	0.254064	-0.032571	-0.030556	-0.054415	0.049232	-0.020470	-0.046890	-0.262011	-0.383887	0.004489	-0.049751	0.005721	-0.065156	-0.029444	-0.017777	0.024683	-0.112448	-0.040754	-0.041068	-0.036491	-0.047063	0.033921	0.047662	0.001898	0.014984	1.000000	-0.107737	0.214497	-0.005640	0.062439
X62	-0.317749	0.521141	-0.555095	-0.323515	-0.551797	-0.246298	-0.329839	-0.254677	-0.240021	-0.524762	-0.298168	-0.277880	-0.272404	-0.329839	0.064229	-0.293183	-0.253895	-0.329839	-0.359263	0.274770	-0.065603	-0.270225	-0.349969	-0.323157	-0.416113	-0.289621	-0.052061	-0.111926	0.107781	0.689498	-0.326195	0.850930	-0.483013	-0.311083	-0.244480	-0.308488	-0.042494	-0.532889	-0.212887	-0.210270	0.039475	-0.265018	0.441694	0.347885	-0.125967	-0.298888	0.200100	-0.206205	-0.286606	-0.290984	0.537225	0.840847	-0.114408	-0.113137	-0.169687	-0.175410	-0.065731	0.211096	0.026428	-0.050473	-0.107737	1.000000	-0.486926	-0.054246	0.161686
X63	0.283767	-0.477785	0.491854	0.668448	0.337275	0.117384	0.295703	0.554937	0.251998	0.485040	0.274537	0.581374	0.177354	0.295703	-0.087516	0.571912	0.548016	0.295703	0.224819	-0.149639	0.002218	0.234249	0.218207	0.299247	0.321545	0.564961	0.122323	0.136610	-0.205636	-0.390416	0.215371	-0.448106	0.955694	0.662717	0.212726	0.274819	0.049887	0.472737	0.136184	0.461270	-0.057252	0.159501	-0.252505	-0.205833	0.113499	0.601636	-0.114480	0.191967	0.167470	0.586282	-0.473482	-0.448029	0.141097	0.138560	0.060526	0.115737	0.069465	-0.133544	-0.062555	0.105961	0.214497	-0.486926	1.000000	0.070103	-0.063642
X64	0.091275	0.089354	0.165058	0.017085	0.041379	-0.063288	0.097623	-0.041926	0.314371	-0.076545	0.113737	0.027625	-0.049000	0.097623	0.010088	0.012302	-0.044461	0.097623	0.016391	-0.070036	0.050996	0.095345	0.017823	0.103754	-0.069046	0.009241	0.020877	0.715325	-0.221777	-0.086351	0.011932	-0.052775	0.075247	0.157696	0.082340	0.311646	-0.007790	-0.148208	-0.003221	0.024543	-0.010420	0.000430	-0.046670	0.001585	0.020711	0.037298	-0.062575	0.125536	0.068648	0.041498	0.168756	-0.053039	0.697991	0.700231	-0.040505	-0.010792	0.062813	0.012635	-0.057556	0.062373	-0.005640	-0.054246	0.070103	1.000000	0.028073
Y	-0.228388	0.201201	-0.184199	-0.074671	-0.128416	-0.156222	-0.217200	-0.056407	0.066605	-0.203469	-0.203086	-0.104693	-0.225527	-0.217200	-0.049243	-0.109044	-0.056013	-0.217200	-0.224468	0.022979	-0.113787	-0.201368	-0.232723	-0.112844	-0.222610	-0.111925	-0.022604	-0.010352	-0.116763	0.117637	-0.200449	0.117343	-0.042992	0.001821	-0.239531	0.069587	-0.032248	-0.218558	-0.248422	-0.038989	-0.071979	-0.216949	0.000711	-0.020515	-0.073401	-0.072765	-0.018767	-0.152643	-0.162718	-0.064568	0.201175	0.092093	-0.013723	-0.012573	-0.074845	-0.141949	-0.078984	0.129372	0.009578	0.008185	0.062439	0.161686	-0.063642	0.028073	1.000000

--------------------------------------------------------------------------

def display_correlation(corr):
    plt.figure(figsize = (35,35))
    sns.heatmap(corr,vmin=-1,vmax=1,center=0,cmap = sns.diverging_palette(20,220,n=200),square=True,annot = True)
    plt.show()

df_list = [df1,df2,df3,df4,df5]
for i in range(5):
    print("For df"+str(i+1))
    display_correlation(find_correlation(df_list[i]))
    print("--------------------------------------------------------------------------")

For df1

--------------------------------------------------------------------------
For df2

--------------------------------------------------------------------------
For df3

--------------------------------------------------------------------------
For df4

--------------------------------------------------------------------------
For df5

--------------------------------------------------------------------------

#For Common in all 5 datasets

def feature_selection(df):
    corr = find_correlation(df)
    upper_tri = corr.where(np.triu(np.ones(corr.shape),k=1).astype(np.bool))
    to_drop = [column for column in upper_tri.columns if any(upper_tri[column]>0.75)]
    return to_drop

    
    
df_list = [df1,df2,df3,df4,df5]

fs_list = []
for df in df_list:
    fs_list.append(feature_selection(df))

count = {}

def vote_common(l):
    for i in l:
        if i not in count:
            count[i] = 1
        else:
            count[i] += 1
            
for l in fs_list:
    vote_common(l)

votes = dict( sorted(count.items(), key=operator.itemgetter(1),reverse=True))

to_drop_col = []
for key,val in votes.items():
    if val==5:
        to_drop_col.append(key)

print("\nDropping following columns:\n")
print(to_drop_col)
print("\nNo of columns dropped = ",len(to_drop_col))

for df in df_list:
    df.drop(to_drop_col,axis = 1,inplace = True)

<ipython-input-17-387fcfff6dd0>:5: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  upper_tri = corr.where(np.triu(np.ones(corr.shape),k=1).astype(np.bool))

Dropping following columns:

['X7', 'X11', 'X14', 'X16', 'X17', 'X18', 'X19', 'X22', 'X23', 'X25', 'X26', 'X31', 'X35', 'X38', 'X39', 'X40', 'X42', 'X46', 'X47', 'X48', 'X49', 'X50', 'X51', 'X52', 'X53', 'X54', 'X62', 'X63']

No of columns dropped =  28

def display_piechart(df,i):
    print("For df"+str(i+1))
    plt.figure(figsize = (6.5,6.5))
    plt.pie(df['Y'].value_counts(),labels = ['No','Yes'],explode = [0,0.25],shadow = True)
    plt.show()
    print("-------------------------------------")

df_list = [df1,df2,df3,df4,df5]
for i in range(5):
    display_piechart(df_list[i],i)

For df1

-------------------------------------
For df2

-------------------------------------
For df3

-------------------------------------
For df4

-------------------------------------
For df5

-------------------------------------

def display_countplot(df,i):
    print("For df"+str(i+1))
    sns.set(style = 'dark')
    sns.countplot(df.Y,saturation = 1)
    plt.show()
    print(df['Y'].value_counts())
    print("--------------------")

df_list = [df1,df2,df3,df4,df5]
for i in range(5):
    display_countplot(df_list[i],i)

For df1

0.0    6113
1.0     238
Name: Y, dtype: int64
--------------------
For df2

0.0    8655
1.0     342
Name: Y, dtype: int64
--------------------
For df3

0.0    8848
1.0     414
Name: Y, dtype: int64
--------------------
For df4

0.0    8192
1.0     412
Name: Y, dtype: int64
--------------------
For df5

0.0    4974
1.0     295
Name: Y, dtype: int64
--------------------

def sample(df):
    X = df.drop(['Y'],axis = 1)
    Y = df['Y']
    
    sm = SMOTE(sampling_strategy = 'minority',random_state = 42)
    
    oversampled_X,oversampled_Y = sm.fit_sample(X,Y)
    
    return pd.concat([pd.DataFrame(oversampled_Y),pd.DataFrame(oversampled_X)],axis=1)

df_1 = sample(df1)
df_2 = sample(df2)
df_3 = sample(df3)
df_4 = sample(df4)
df_5 = sample(df5)

df_list = [df_1,df_2,df_3,df_4,df_5]
for i in range(5):
    display_countplot(df_list[i],i)

For df1

1.0    6113
0.0    6113
Name: Y, dtype: int64
--------------------
For df2

1.0    8655
0.0    8655
Name: Y, dtype: int64
--------------------
For df3

1.0    8848
0.0    8848
Name: Y, dtype: int64
--------------------
For df4

1.0    8192
0.0    8192
Name: Y, dtype: int64
--------------------
For df5

1.0    4974
0.0    4974
Name: Y, dtype: int64
--------------------

Modelling

X_train_list = []
X_test_list = []
y_train_list = []
y_test_list = []
def split_data(df):
    X = df.drop(['Y'],axis = 1)
    Y = df.Y
    X_train, X_test, y_train, y_test = train_test_split(X,Y,test_size = 0.2)
    X_train_list.append(X_train)
    X_test_list.append(X_test)
    y_train_list.append(y_train)
    y_test_list.append(y_test)    

df_list = [df_1,df_2,df_3,df_4,df_5]

for df in df_list:
    split_data(df)

for i in range(5):
    print("df"+str(i+1))
    display(X_train_list[i].head())
    print("\n\n")

df1

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
2450	0.191230	0.448760	0.413200	2.013500	2.925200	0.48711	1.114900	1.166900	0.500330	0.583530	0.172740	624.690000	96.723000	0.972440	0.606150	1.922300	2.307100	4.087600	0.279180	114.400000	3.190600	0.557190	1.566900	10.196000	0.053778	191.240000	94.520000	0.475420	5055.800000	0.143040	0.382210	0.856960	0.082071	3.773700	3.861600	8.475300
1227	0.075489	0.146420	0.484860	4.390700	65.074000	0.00000	5.829800	1.564900	0.853580	0.563400	0.079829	427.800000	67.385000	0.823910	0.242600	68.700000	1.302900	4.244000	-0.008089	46.841000	7.964500	7.778400	1.564900	297.250000	0.039777	108.740000	41.359000	0.261300	4.390700	0.287950	0.088438	0.720800	0.001336	5.416600	8.825100	4.205000
4675	0.368510	0.059837	0.307370	6.136900	356.120000	0.00000	15.712000	4.025300	0.940160	6.158500	0.108740	49.895000	0.795870	1.011500	0.735540	554.958703	0.485740	3.090000	-0.031204	5.972100	61.118000	61.118000	4.025300	1.650653	0.004560	16.257000	15.462000	41.985000	378.180000	0.091488	0.391960	0.908520	0.000000	458.620000	23.607000	6.361200
9850	-0.017322	0.849653	-0.277949	0.558617	-66.226491	0.00000	0.181628	2.823245	0.150319	-0.035120	0.015280	7295.930657	26.715373	1.125661	0.016428	1.399238	-0.419586	4.123732	0.303562	82.759627	4.860130	3.316565	2.834415	0.696278	0.357226	41.677023	14.961714	-0.129958	-3513.781042	0.015583	-0.055691	0.984271	1.365601	16.412297	27.203529	4.203980
11224	0.111004	0.877668	-0.105209	0.866927	-47.111613	0.00000	0.147521	2.907969	0.122332	0.141642	0.060002	2042.740170	28.550353	1.165666	0.111004	10.944647	-0.429347	4.052432	0.295730	118.290720	3.305456	3.101652	2.908944	18.961546	0.173216	81.316926	52.766573	0.621771	-1192.755949	0.057583	1.289206	0.950973	0.467624	18.262950	7.158152	14.046624

df2

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
10235	0.127725	0.867016	0.003909	1.051429	-38.531592	-0.185621	0.193999	2.757765	0.132993	0.330799	0.059894	1906.602941	31.374381	0.721970	0.167718	4.828974	-0.020843	3.641453	0.308467	109.782508	5.520967	2.991616	2.775158	1.401277	0.145288	89.883058	58.507868	0.614492	4.269736	0.157412	1.738013	0.840772	0.000000	13.857165	10.800632	26.193199
3056	0.002886	0.393520	0.238690	1.673300	-8.554700	0.361840	1.541200	1.128700	0.606480	0.018311	0.035374	1996.600000	47.660000	0.934740	0.402170	1.394500	0.586730	4.673100	0.150510	71.816000	5.082400	0.638450	2.053000	8.396800	0.040852	88.187000	40.526000	0.010867	11245.000000	0.114050	0.004758	0.885950	0.064338	7.658400	9.006500	4.999100
4667	-0.092494	0.166050	0.301940	2.818400	37.589000	-0.233580	5.010700	0.946920	0.832040	-0.500530	-0.016858	-1868.700000	16.528000	0.843570	-0.224390	-0.460120	0.567560	3.433200	-0.017793	29.830000	12.236000	-0.563010	1.953400	2.021350	-0.127520	49.278000	32.749000	-1.061600	818.660000	-0.056054	-0.111170	1.056100	0.000000	22.083000	11.145000	3.616500
7926	-0.097401	0.682030	-0.153510	0.731490	-58.021000	-0.089164	0.428740	0.945390	0.292410	-0.164260	-0.017913	-8583.500000	24.778000	0.881550	-0.080708	-0.514660	-0.263860	4.467600	0.420980	121.850000	2.995600	-0.129230	1.665800	2.794600	-0.965050	93.698000	68.921000	-0.886180	-4506.000000	-0.057769	-0.333090	1.057800	0.377270	14.731000	5.295900	2.782900
14700	-0.098708	0.249717	0.502716	7.707278	42.130428	-0.007269	3.017686	0.709917	0.750253	-1.339160	-0.139800	-955.007277	116.902787	0.736614	-0.183317	-1.946295	0.871114	2.308170	0.292509	59.099287	14.616335	4.259553	0.996380	6.362184	-0.122799	217.314439	100.416806	-0.616754	105.735987	0.304097	-0.131181	0.542573	0.000000	3.852891	8.870804	1.324555

df3

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
8315	0.188090	0.743400	-0.026431	0.907610	-26.687000	0.035153	0.345180	1.730900	0.256600	0.657490	0.109370	1433.400000	5.301500	0.921240	0.447670	0.000000	-0.035700	3.839600	0.414040	89.651000	4.071400	1.56680	1.730900	0.572640	20.496000	41.805000	36.504000	7.481600	-182.69000	0.327100	0.733010	0.687290	1.595900	68.849000	9.998900	2.338000
11635	0.035688	0.674926	-0.366970	0.401734	-111.202982	-0.325663	0.460987	1.408126	0.301537	0.090435	0.079135	1958.307146	30.497688	1.953732	-0.259919	1.937487	-0.475008	4.067284	0.323395	116.933836	4.753755	1.31777	2.617966	48.826509	0.145394	36.257534	5.759707	0.182947	-4050.83418	0.059994	0.133902	0.944195	0.128471	20.006722	79.497738	3.368299
5749	0.005305	0.649870	0.071558	1.508000	62.408000	0.000000	0.538780	0.464160	0.350130	0.047834	0.187000	2732.800000	8.441000	0.615810	0.186380	1.117400	0.090858	3.120700	1.230400	123.060000	2.965900	0.64286	0.464160	0.396230	0.163030	103.320000	94.875000	0.494210	94.49000	0.099925	0.015151	0.985720	1.453800	43.241000	3.847100	0.589340
9182	0.101410	0.741490	0.202670	1.279000	-14.623000	0.101410	0.311390	1.050900	0.230900	0.175400	0.041990	1965.300000	33.115000	1.142900	0.127420	0.128413	2.858900	4.729200	0.164530	84.960000	4.296100	0.19214	3.308300	41.950000	0.159570	77.430000	44.314000	0.340820	10864.00000	0.048412	0.439200	0.951590	0.065202	11.022000	8.236600	46.264000
8958	0.041600	0.935310	-0.085520	0.907070	-73.703000	-0.231480	0.069259	1.559200	0.064779	0.036353	0.026243	8343.500000	47.657000	0.905963	0.033454	0.947010	-0.517510	3.890800	0.574200	234.510000	1.566200	1.54100	1.601700	51.441000	0.244190	185.000000	137.340000	0.204350	-665.00000	0.081326	0.642180	0.899830	0.189410	7.658900	2.657600	9.435000

df4

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
11939	0.013952	0.644987	0.118561	1.162301	-26.581321	-0.062208	0.731903	1.994777	0.354992	0.088101	0.050305	3673.909570	8.815809	0.883327	-0.128368	-4.162314	0.833214	2.921679	0.485666	71.285299	5.661386	4.052402	2.041112	1.067879	0.234753	48.469323	39.653784	4.190271	-275.461402	0.060853	0.120559	0.925781	1.961232	115.611598	9.208574	7.979389
14131	-0.000800	0.095479	0.904521	12.433966	375.901750	-0.512843	11.434046	1.368930	0.904533	-0.457835	-0.132689	-32.723307	0.000000	0.754229	0.208674	253.944209	22.472492	1.841376	-0.358522	37.443758	12.618779	12.618779	1.377830	38.837053	-0.002200	357.113921	357.113921	1.494300	81.794565	0.666020	0.008466	0.357946	0.000000	11.016416	1.893885	95.587380
13598	-0.750114	1.277148	-0.835687	0.257226	-112.432366	0.000000	-0.206496	2.216827	-0.276802	-0.634148	-0.291698	-726.918545	12.120774	0.708555	-1.381738	-18.988300	-1.422359	3.462931	0.564512	155.422240	2.640678	2.373940	2.352187	10.150515	-0.067494	46.791278	34.670504	-20.712560	-2418.285024	-0.230533	3.697133	1.219899	0.000000	71.351507	32.221323	3.826462
9161	-0.059982	0.948115	-0.168704	0.788553	-65.589968	-0.087547	0.057256	1.920494	0.051651	-0.075208	-0.028514	-6451.764100	38.149754	0.635311	-0.094706	-1.170609	-0.407057	3.334642	0.496071	171.363317	2.759517	2.306905	2.179299	4.997497	-1.131808	116.542458	78.395390	-0.317475	-431.682722	0.090555	-1.457589	0.836271	2.002926	10.525645	4.933957	5.285592
4688	-0.007373	0.433690	-0.107200	0.752810	-102.870000	0.003390	1.253500	1.000600	0.543640	-0.018426	0.044326	4064.100000	36.001000	1.302800	0.010997	-0.007286	-0.159170	5.439400	0.439570	180.250000	2.025000	-0.001476	0.895640	4.227430	0.307940	97.772000	61.771000	-0.085072	-29486.000000	0.000571	-0.013563	0.999430	0.000000	10.139000	5.908900	1.304700

df5

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
2502	0.125820	0.789280	0.192320	1.249600	-96.482000	0.000000	0.266980	1.551300	0.210720	0.198550	0.106070	1750.800000	131.170000	1.931200	0.224340	25.330000	5.197800	4.404800	0.372330	201.880000	1.808000	1.765400	1.551300	32.098167	0.157990	175.550000	44.386000	0.225690	4884.800000	0.101790	0.597100	0.901790	0.000000	2.782700	8.22340	41.926000
4067	0.114800	0.349170	0.431520	2.365200	16.053000	0.251440	1.821000	1.135200	0.635850	0.447290	0.133910	792.610000	115.470000	1.062200	0.315590	1.464400	1.709700	5.288200	0.279540	109.070000	3.346400	0.443600	1.219400	11.115000	0.065859	221.520000	106.050000	0.302210	83785.000000	0.119130	0.180550	0.880870	0.052030	3.160900	3.44180	4.757600
4833	0.004701	0.748720	0.070571	1.094300	-34.319000	0.012488	0.278710	1.003700	0.208680	0.006279	0.006119	12825.000000	41.630000	1.168900	0.016527	0.063958	0.390530	4.176900	0.214500	78.762000	4.634200	0.029640	3.502300	0.569880	0.634430	85.422000	43.792000	0.011835	1060.600000	0.003678	0.022527	0.996320	0.000000	8.767700	8.33480	19.272000
5861	-0.071068	0.693273	-0.037834	0.907378	-151.757376	0.043000	0.496451	0.804988	0.306727	-0.176515	-0.035684	-10835.698185	117.247571	0.744231	-0.051948	-4.683453	-0.059421	3.987957	1.035958	200.791703	2.081652	1.428913	0.808825	3.721457	2.493325	164.103325	46.850866	-0.347029	-339.669521	-0.057109	-0.243140	1.098451	0.942330	4.104427	8.02433	1.264456
947	0.065428	0.515450	0.055209	1.107200	-50.069000	-0.081398	0.850630	1.079000	0.438460	0.131690	0.091765	1740.700000	55.563000	1.131500	-0.071983	0.815960	0.128420	5.415200	0.351470	172.160000	2.120200	0.172810	1.194300	688.750000	0.131010	138.360000	82.798000	0.364900	14363.000000	0.073196	0.149220	0.926800	0.001294	6.569100	4.40830	2.739800

models = {
    'XGBoost':XGBClassifier(eta = 0.3,objective = 'binary:logistic'),
    'Logistic Regression':LogisticRegression(fit_intercept = False, multi_class = 'auto', penalty = 'l1', solver = 'liblinear', warm_start = True),
    'Random Forest':RandomForestClassifier(warm_start= True, criterion= 'entropy',n_estimators = 500),
    'Ada Boost' : AdaBoostClassifier(algorithm = 'SAMME.R'),
    'LightGBM' : LGBMClassifier(boosting = 'goss',importance_type = 'split')
}

Scores = []
for model_name,mp in models.items():
    start = time.time()
    y_pred_list = []
    Accuracy = []
    sum = 0
    for i in range(5):
        clf = mp.fit(X_train_list[i],y_train_list[i])
    
    for i in range(5):
        y_pred_list.append(clf.predict(X_test_list[i]))
    
    for i in range(5):
        Accuracy.append(balanced_accuracy_score(y_test_list[i],y_pred_list[i]))
        sum += Accuracy[i]

    Scores.append({
            'Model':model_name,
            'Mean Score':sum/5,
            'Time Taken':(time.time()-start)
    })
best = pd.DataFrame(Scores)
best.sort_values('Mean Score',ascending = False)

C:\Users\akhil\anaconda3\lib\site-packages\sklearn\ensemble\_forest.py:368: UserWarning: Warm-start fitting without increasing n_estimators does not fit new trees.
  warn("Warm-start fitting without increasing n_estimators does not "
C:\Users\akhil\anaconda3\lib\site-packages\sklearn\ensemble\_forest.py:368: UserWarning: Warm-start fitting without increasing n_estimators does not fit new trees.
  warn("Warm-start fitting without increasing n_estimators does not "
C:\Users\akhil\anaconda3\lib\site-packages\sklearn\ensemble\_forest.py:368: UserWarning: Warm-start fitting without increasing n_estimators does not fit new trees.
  warn("Warm-start fitting without increasing n_estimators does not "
C:\Users\akhil\anaconda3\lib\site-packages\sklearn\ensemble\_forest.py:368: UserWarning: Warm-start fitting without increasing n_estimators does not fit new trees.
  warn("Warm-start fitting without increasing n_estimators does not "

[LightGBM] [Warning] boosting is set=goss, boosting_type=gbdt will be ignored. Current value: boosting=goss

	Model	Mean Score	Time Taken
0	XGBoost	0.839312	5.507453
4	LightGBM	0.833771	0.678102
3	Ada Boost	0.781290	9.742814
2	Random Forest	0.742382	24.229840
1	Logistic Regression	0.679614	2.737078

xgb = XGBClassifier(eta = 0.3,objective = 'binary:logistic')
for i in range(5):
    xgb.fit(X_train_list[i],y_train_list[i])

y_pred_list = []

for i in range(5):
    y_pred_list.append(xgb.predict(X_test_list[i]))

sum = 0
def CM(i):
    
    confusion = pd.crosstab(y_test_list[i-1],y_pred_list[i-1],rownames=['Actual'], colnames=['Predicted'])
    sns.heatmap(confusion,annot = True,fmt = '.5g')
    plt.show()
    
    TN,FP,FN,TP = confusion_matrix(y_test_list[i-1],y_pred_list[i-1]).ravel()
    
    accuracy = (TP+TN)/(TP+TN+FP+FN)
    recall = TP/(TP+FN)
    precision = TP/(TP+FP)
    specificity = TN/(TN+FP)
    F1_score = (2*recall*precision)/(recall+precision)
    
    print("Accuracy is {}".format(accuracy))
    print("Precision is {}".format(precision))
    print("Recall is {}".format(recall))
    print("Specificity is {}".format(specificity))
    print("F1 Score is {}".format(F1_score))
    
    
    return accuracy

for i in range(1,6):
    print("For Year : {}".format(i))
    sum += CM(i)
    print("----------------------------------------------------------")

print("\nAverage Accuracy is {}".format(sum/5))

For Year : 1

Accuracy is 0.7935404742436631
Precision is 0.9512820512820512
Recall is 0.6137303556658396
Specificity is 0.9692805173807599
F1 Score is 0.7461035696329814
----------------------------------------------------------
For Year : 2

Accuracy is 0.7937608318890814
Precision is 0.8668138337012509
Recall is 0.6884862653419053
Specificity is 0.8966304968589377
F1 Score is 0.7674267100977198
----------------------------------------------------------
For Year : 3

Accuracy is 0.8124293785310734
Precision is 0.8991596638655462
Recall is 0.7117516629711752
Specificity is 0.9170506912442397
F1 Score is 0.7945544554455446
----------------------------------------------------------
For Year : 4

Accuracy is 0.820872749465975
Precision is 0.9166666666666666
Recall is 0.7006802721088435
Specificity is 0.9379518072289157
F1 Score is 0.7942516649141255
----------------------------------------------------------
For Year : 5

Accuracy is 0.978894472361809
Precision is 0.969785575048733
Recall is 0.989065606361829
Specificity is 0.9684959349593496
F1 Score is 0.9793307086614174
----------------------------------------------------------

Average Accuracy is 0.8398995812983203

#Plotting ROC AUC curve
for i in range(5):
    y_pred_proba = xgb.predict_proba(X_test_list[i])[::,1]
    fpr,tpr,_ = metrics.roc_curve(y_test_list[i],y_pred_proba)
    auc = metrics.roc_auc_score(y_test_list[i],y_pred_proba)
    
    plt.figure(figsize = (7,5))
    plt.plot(fpr,tpr,label = "AUC = "+str(auc))
    plt.ylabel('True Positive Rate')
    plt.xlabel('False Positive Rate')
    plt.title("For Year "+str(i+1),fontweight = 'bold',fontsize = 15)
    plt.legend(loc = 4)
    plt.show()
    print("----------------------------------------------------------")
    print()

----------------------------------------------------------

----------------------------------------------------------

----------------------------------------------------------

----------------------------------------------------------

----------------------------------------------------------

#Plotting Precision Recall curve

for i in range(5):
    y_pred_proba = xgb.predict_proba(X_test_list[i])[::,1]
    precision,recall,_ = metrics.precision_recall_curve(y_test_list[i],y_pred_proba)    
    plt.figure(figsize = (7,5))
    plt.plot(recall,precision)
    plt.ylabel('Precision')
    plt.xlabel('Recall')
    plt.title("For Year "+str(i+1),fontweight = 'bold',fontsize = 15)
    plt.show()
    print("----------------------------------------------------------")
    print()

----------------------------------------------------------

----------------------------------------------------------

----------------------------------------------------------

----------------------------------------------------------

----------------------------------------------------------

Metric_list = {
    'Year' : [],
    'Accuracy' : [],
    'Sensitivity' : [],
    'Precision' : [],
    'Specificity' : [],
    'F1 Score' : []
}

for i in range(5):
    TN,FP,FN,TP = confusion_matrix(y_test_list[i],y_pred_list[i]).ravel()
    accuracy = (TP+TN)/(TP+TN+FP+FN)
    recall = TP/(TP+FN)
    precision = TP/(TP+FP)
    specificity = TN/(TN+FP)
    F1_score = (2*recall*precision)/(recall+precision)
    
    Metric_list['Year'].append(i+1)
    Metric_list['Accuracy'].append(accuracy*100)
    Metric_list['Sensitivity'].append(recall*100)
    Metric_list['Precision'].append(precision*100)
    Metric_list['Specificity'].append(specificity*100)
    Metric_list['F1 Score'].append(F1_score*100)
    
    
Metric = pd.DataFrame(Metric_list)
Metric['Accuracy'] = Metric['Accuracy'].round(decimals = 2)
Metric['Sensitivity'] = Metric['Sensitivity'].round(decimals = 2)
Metric['Precision'] = Metric['Precision'].round(decimals = 2)
Metric['Specificity'] = Metric['Specificity'].round(decimals = 2)
Metric['F1 Score'] = Metric['F1 Score'].round(decimals = 2)
Metric.head()

	Year	Accuracy	Sensitivity	Precision	Specificity	F1 Score
0	1	79.35	61.37	95.13	96.93	74.61
1	2	79.38	68.85	86.68	89.66	76.74
2	3	81.24	71.18	89.92	91.71	79.46
3	4	82.09	70.07	91.67	93.80	79.43
4	5	97.89	98.91	96.98	96.85	97.93

def addlabels(x,y):
    for i in range(len(x)):
        plt.text(i+1,y[i]+1,y[i],ha = 'center',fontsize = 11)
        
def plots(x):
    plt.figure(figsize = (10,5))
    plt.bar(Metric.Year,Metric[x],edgecolor = 'black',color = 'orange')
    addlabels(Metric.Year,Metric[x])
    plt.xlabel('Year',fontweight = 'bold')
    plt.ylabel('Values',fontweight = 'bold')
    plt.title("For "+x,fontweight = 'bold',fontsize = 15)
    plt.show()
    
for i in range(1,6):
    print(plots(Metric.columns[i]))
    print("-----------------------------------------------------------------------------")
    print()

None
-----------------------------------------------------------------------------

None
-----------------------------------------------------------------------------

None
-----------------------------------------------------------------------------

None
-----------------------------------------------------------------------------

None
-----------------------------------------------------------------------------

df_list = [df_1,df_2,df_3,df_4,df_5]

for i in range(5):
    sort = xgb.feature_importances_.argsort()
    plt.figure(figsize = (10,10))
    plt.barh(df_list[i].columns[sort], xgb.feature_importances_[sort])
    plt.ylabel("Feature Importance")
    plt.title("For Year "+str(i+1),fontsize = 15)

# Weights assigned to each column
ordered_corr_feature = {}

for i in range(len(df_list[0].columns[sort])):
    if df_list[0].columns[sort][35-i]!='Y':
        ordered_corr_feature[df_list[0].columns[sort][35-i]] = (36-i)/100

print(ordered_corr_feature)

{'X24': 0.36, 'X5': 0.35, 'X9': 0.34, 'X20': 0.33, 'X37': 0.32, 'X45': 0.31, 'X61': 0.3, 'X33': 0.29, 'X60': 0.28, 'X58': 0.27, 'X43': 0.26, 'X15': 0.25, 'X13': 0.24, 'X55': 0.23, 'X21': 0.22, 'X30': 0.21, 'X8': 0.2, 'X59': 0.19, 'X27': 0.18, 'X2': 0.17, 'X36': 0.16, 'X34': 0.15, 'X57': 0.14, 'X44': 0.13, 'X29': 0.12, 'X3': 0.11, 'X12': 0.1, 'X6': 0.09, 'X1': 0.07, 'X32': 0.06, 'X56': 0.05, 'X28': 0.04, 'X4': 0.03, 'X41': 0.02, 'X10': 0.01}

df_list = [df_1,df_2,df_3,df_4,df_5]

pos_count = {}
neg_count = {}


for i in range(5):
    c = find_correlation(df_list[i])
    for k,v in c['Y'].items():
        if v>=0 and v!=1:
            if k not in pos_count:
                pos_count[k] = 1
            elif k in pos_count:
                pos_count[k] += 1
        if v<0:
            if k not in neg_count:
                neg_count[k] = 1
            elif k in neg_count:
                neg_count[k] += 1

pos_all = []
neg_all = []

for k,v in pos_count.items():
    if v>=3:
        pos_all.append(k)

for k,v in neg_count.items():
    if v>=3:
        neg_all.append(k)
        
print("Positively Correlated Features are :-\n",pos_all)
print("\n\nNegatively Correlated Features are :-\n",neg_all)

Positively Correlated Features are :-
 ['X2', 'X9', 'X15', 'X30', 'X32', 'X36', 'X58', 'X59', 'X61', 'X64', 'X20', 'X43']


Negatively Correlated Features are :-
 ['X1', 'X3', 'X4', 'X5', 'X6', 'X8', 'X10', 'X12', 'X13', 'X21', 'X24', 'X27', 'X28', 'X29', 'X33', 'X34', 'X37', 'X41', 'X44', 'X45', 'X55', 'X56', 'X57', 'X60']

o= {
    'X1':[-0.102097],'X2':[0.403595],'X3':[-0.070295],'X4':[0.745744],'X5':[-21.164521],'X6':[0.0],
    'X8':[1.702828],'X9':[1.746321],'X10':[0.596849],'X12':[-0.285562],'X13':[-0.058566],'X15':[-1434.408728],
    'X20':[8.727083],'X21':[1.007958],'X24':[-0.061341],'X27':[-6.029714],'X28':[-0.076228],'X29':[3.192527],
    'X30':[0.216027],'X32':[77.536626],'X33':[5.828647],'X34':[5.265031],'X36':[1.872401],'X37':[5.756834],
    'X41':[-0.097177],'X43':[53.261665],'X44':[44.534402],'X45':[-2.619874],'X55':[-63.029123],'X56':[0.05399],
    'X57':[-0.197046],'X58':[0.884513],'X59':[0.10286],'X60':[42.709518],'X61':[11.613202],'X64':[2.598716],
}

os = {
    'Y':[1.0]
}

trial_original = pd.DataFrame(o)
ans_original = pd.DataFrame(os)

display(trial_original)
display(ans_original)

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
0	-0.102097	0.403595	-0.070295	0.745744	-21.164521	0.0	1.702828	1.746321	0.596849	-0.285562	-0.058566	-1434.408728	8.727083	1.007958	-0.061341	-6.029714	-0.076228	3.192527	0.216027	77.536626	5.828647	5.265031	1.872401	5.756834	-0.097177	53.261665	44.534402	-2.619874	-63.029123	0.05399	-0.197046	0.884513	0.10286	42.709518	11.613202	2.598716

	Y
0	1.0

t3= {
    'X1':[-0.102097],'X2':[0.403595],'X3':[-0.070295],'X4':[0.745744],'X5':[-21.164521],'X6':[0.0],
    'X8':[1.702828],'X9':[1.746321],'X10':[0.596849],'X12':[-0.285562],'X13':[-0.058566],'X15':[-1434.408728],
    'X20':[8.727083],'X21':[1.007958],'X24':[-0.061341],'X27':[-6.029714],'X28':[-0.076228],'X29':[3.192527],
    'X30':[0.216027],'X32':[77.536626],'X33':[5.828647],'X34':[5.265031],'X36':[1.872401],'X37':[5.756834],
    'X41':[-0.097177],'X43':[53.261665],'X44':[44.534402],'X45':[-2.619874],'X55':[-63.029123],'X56':[0.05399],
    'X57':[-0.197046],'X58':[0.884513],'X59':[0.10286],'X60':[42.709518],'X61':[11.613202],'X64':[2.598716],
}

ts3 = {
    'Y':[1.0]
}

trial3 = pd.DataFrame(t3)
ans3 = pd.DataFrame(ts3)
display(trial3)
display(ans3)

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
0	-0.102097	0.403595	-0.070295	0.745744	-21.164521	0.0	1.702828	1.746321	0.596849	-0.285562	-0.058566	-1434.408728	8.727083	1.007958	-0.061341	-6.029714	-0.076228	3.192527	0.216027	77.536626	5.828647	5.265031	1.872401	5.756834	-0.097177	53.261665	44.534402	-2.619874	-63.029123	0.05399	-0.197046	0.884513	0.10286	42.709518	11.613202	2.598716

	Y
0	1.0

t4= {
    'X1':[-0.102097],'X2':[0.403595],'X3':[-0.070295],'X4':[0.745744],'X5':[-21.164521],'X6':[0.0],
    'X8':[1.702828],'X9':[1.746321],'X10':[0.596849],'X12':[-0.285562],'X13':[-0.058566],'X15':[-1434.408728],
    'X20':[8.727083],'X21':[1.007958],'X24':[-0.061341],'X27':[-6.029714],'X28':[-0.076228],'X29':[3.192527],
    'X30':[0.216027],'X32':[77.536626],'X33':[5.828647],'X34':[5.265031],'X36':[1.872401],'X37':[5.756834],
    'X41':[-0.097177],'X43':[53.261665],'X44':[44.534402],'X45':[-2.619874],'X55':[-63.029123],'X56':[0.05399],
    'X57':[-0.197046],'X58':[0.884513],'X59':[0.10286],'X60':[42.709518],'X61':[11.613202],'X64':[2.598716],
}

ts4 = {
    'Y':[1.0]
}

trial4 = pd.DataFrame(t4)
ans4 = pd.DataFrame(ts4)
display(trial4)
display(ans4)

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
0	-0.102097	0.403595	-0.070295	0.745744	-21.164521	0.0	1.702828	1.746321	0.596849	-0.285562	-0.058566	-1434.408728	8.727083	1.007958	-0.061341	-6.029714	-0.076228	3.192527	0.216027	77.536626	5.828647	5.265031	1.872401	5.756834	-0.097177	53.261665	44.534402	-2.619874	-63.029123	0.05399	-0.197046	0.884513	0.10286	42.709518	11.613202	2.598716

	Y
0	1.0

print("Predicted Class :",xgb.predict(trial_original)[0])
print("Probability of it belonging to 1 class :",xgb.predict_proba(trial_original)[0][1])
print("Probability of it belonging to 0 class :",xgb.predict_proba(trial_original)[0][0])

Predicted Class : 1
Probability of it belonging to 1 class : 0.9997768
Probability of it belonging to 0 class : 0.0002232194

#Using All Columns

pos_all = ['X2','X9','X30','X32','X36','X58','X59','X61','X64','X20','X15','X43']
neg_all = ['X1','X3','X4','X5','X6','X8','X10','X12','X13','X21','X24','X27','X28','X29','X33','X34','X37','X41','X44','X45','X55','X56','X57','X60']

prob = {
    'Iterations':[],
    'Probability':[]   
       }

i = 0
print("Initial probability :",xgb.predict_proba(trial3)[0][0])
while(xgb.predict_proba(trial3)[0][0]<=0.73):
    for col,weight in ordered_corr_feature.items():
        if col in pos_all:
            trial3[col].values[0] -= 0.01*weight
        elif col in neg_all:
            trial3[col].values[0] += 0.01*weight   
    i = i+1
    prob['Iterations'].append(i)
    prob['Probability'].append(xgb.predict_proba(trial3)[0][0])
    print("After iteration {} probability is {}".format(i,xgb.predict_proba(trial3)[0][0]))

print("\nNew predicted class is ",xgb.predict(trial3)[0])

all_with_weight  = pd.DataFrame(prob)

Initial probability : 0.0002232194
After iteration 1 probability is 0.00013947486877441406
After iteration 2 probability is 0.00012254714965820312
After iteration 3 probability is 0.00011849403381347656
After iteration 4 probability is 0.00011801719665527344
After iteration 5 probability is 0.00011801719665527344
After iteration 6 probability is 0.00011801719665527344
After iteration 7 probability is 0.00011801719665527344
After iteration 8 probability is 0.0001577138900756836
After iteration 9 probability is 0.0001577138900756836
After iteration 10 probability is 0.0001652240753173828
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After iteration 290 probability is 0.25029754638671875
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After iteration 299 probability is 0.2858395576477051
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After iteration 440 probability is 0.5406861901283264
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After iteration 478 probability is 0.5959954261779785
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After iteration 482 probability is 0.5822964310646057
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After iteration 484 probability is 0.5822964310646057
After iteration 485 probability is 0.5822964310646057
After iteration 486 probability is 0.8129364252090454

New predicted class is  0

print("Recommended Changes for All Columns:\n")
for col in ordered_corr_feature.keys():
    if trial3[col][0]<trial_original[col][0]:
        print("Decrease {} by {} : {} ----> {}".format(col,(trial_original[col][0]-trial3[col][0]).round(4),trial_original[col][0].round(4),trial3[col][0].round(4)))
    elif trial3[col][0]>trial_original[col][0]:
        print("Increase {} by {} : {} ----> {}".format(col,(trial3[col][0]-trial_original[col][0]).round(4),trial_original[col][0].round(4),trial3[col][0].round(4)))

Recommended Changes for All Columns:

Increase X24 by 1.7496 : -0.0613 ----> 1.6883
Increase X5 by 1.701 : -21.1645 ----> -19.4635
Decrease X9 by 1.6524 : 1.7463 ----> 0.0939
Decrease X20 by 1.6038 : 8.7271 ----> 7.1233
Increase X37 by 1.5552 : 5.7568 ----> 7.312
Increase X45 by 1.5066 : -2.6199 ----> -1.1133
Decrease X61 by 1.458 : 11.6132 ----> 10.1552
Increase X33 by 1.4094 : 5.8286 ----> 7.238
Increase X60 by 1.3608 : 42.7095 ----> 44.0703
Decrease X58 by 1.3122 : 0.8845 ----> -0.4277
Decrease X43 by 1.2636 : 53.2617 ----> 51.9981
Decrease X15 by 1.215 : -1434.4087 ----> -1435.6237
Increase X13 by 1.1664 : -0.0586 ----> 1.1078
Increase X55 by 1.1178 : -63.0291 ----> -61.9113
Increase X21 by 1.0692 : 1.008 ----> 2.0772
Decrease X30 by 1.0206 : 0.216 ----> -0.8046
Increase X8 by 0.972 : 1.7028 ----> 2.6748
Decrease X59 by 0.9234 : 0.1029 ----> -0.8205
Increase X27 by 0.8748 : -6.0297 ----> -5.1549
Decrease X2 by 0.8262 : 0.4036 ----> -0.4226
Decrease X36 by 0.7776 : 1.8724 ----> 1.0948
Increase X34 by 0.729 : 5.265 ----> 5.994
Increase X57 by 0.6804 : -0.197 ----> 0.4834
Increase X44 by 0.6318 : 44.5344 ----> 45.1662
Increase X29 by 0.5832 : 3.1925 ----> 3.7757
Increase X3 by 0.5346 : -0.0703 ----> 0.4643
Increase X12 by 0.486 : -0.2856 ----> 0.2004
Increase X6 by 0.4374 : 0.0 ----> 0.4374
Increase X1 by 0.3402 : -0.1021 ----> 0.2381
Decrease X32 by 0.2916 : 77.5366 ----> 77.245
Increase X56 by 0.243 : 0.054 ----> 0.297
Increase X28 by 0.1944 : -0.0762 ----> 0.1182
Increase X4 by 0.1458 : 0.7457 ----> 0.8915
Increase X41 by 0.0972 : -0.0972 ----> 0.0
Increase X10 by 0.0486 : 0.5968 ----> 0.6454

#Using Specific Columns

specific = dict(list(ordered_corr_feature.items())[:20])

prob = {
    'Iterations':[],
    'Probability':[]   
       }

i = 0
print("Initial probability :",xgb.predict_proba(trial4)[0][0])
while(xgb.predict_proba(trial4)[0][0]<=0.73):
    for col,weight in specific.items():
        if col in pos_all:
            trial4[col].values[0] -= 0.01*weight
        elif col in neg_all:
            trial4[col].values[0] += 0.01*weight   
    i = i+1
    prob['Iterations'].append(i)
    prob['Probability'].append(xgb.predict_proba(trial4)[0][0])
    print("After iteration {} probability is {}".format(i,xgb.predict_proba(trial4)[0][0]))

print("\nNew predicted class is ",xgb.predict(trial4)[0])

specific_with_weight = pd.DataFrame(prob)

Initial probability : 0.0002232194
After iteration 1 probability is 0.0002232193946838379
After iteration 2 probability is 0.0002232193946838379
After iteration 3 probability is 0.0002232193946838379
After iteration 4 probability is 0.00022214651107788086
After iteration 5 probability is 0.00022214651107788086
After iteration 6 probability is 0.00022214651107788086
After iteration 7 probability is 0.00022214651107788086
After iteration 8 probability is 0.00029712915420532227
After iteration 9 probability is 0.00029712915420532227
After iteration 10 probability is 0.00031113624572753906
After iteration 11 probability is 0.00031113624572753906
After iteration 12 probability is 0.00031113624572753906
After iteration 13 probability is 0.00031113624572753906
After iteration 14 probability is 0.00031113624572753906
After iteration 15 probability is 0.00031113624572753906
After iteration 16 probability is 0.00024694204330444336
After iteration 17 probability is 0.00024694204330444336
After iteration 18 probability is 0.00020843744277954102
After iteration 19 probability is 0.00026875734329223633
After iteration 20 probability is 0.00026875734329223633
After iteration 21 probability is 0.0003355741500854492
After iteration 22 probability is 0.00045174360275268555
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After iteration 39 probability is 0.00043398141860961914
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After iteration 46 probability is 0.0005615353584289551
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After iteration 52 probability is 0.0009402632713317871
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After iteration 59 probability is 0.0020311474800109863
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After iteration 66 probability is 0.002798795700073242
After iteration 67 probability is 0.002798795700073242
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After iteration 69 probability is 0.002798795700073242
After iteration 70 probability is 0.0037235617637634277
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After iteration 73 probability is 0.0027241110801696777
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After iteration 78 probability is 0.003383815288543701
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After iteration 100 probability is 0.0038915276527404785
After iteration 101 probability is 0.0031921863555908203
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After iteration 111 probability is 0.0032709836959838867
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After iteration 1483 probability is 0.4033697843551636
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After iteration 2124 probability is 0.4086475968360901
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After iteration 2171 probability is 0.44183969497680664
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After iteration 2483 probability is 0.7337015867233276

New predicted class is  0

imp_col_list = ['X5','X9','X13','X15','X20','X24','X29','X33','X34','X37','X43','X45','X58','X60','X61']
print("Recommended Changes for Specific Columns:\n")
for col in specific.keys():
    if trial4[col][0]<trial_original[col][0]:
        print("Decrease {} by {} : {} ----> {}".format(col,(trial_original[col][0]-trial4[col][0]).round(4),trial_original[col][0].round(4),trial4[col][0].round(4)))
    elif trial4[col][0]>trial_original[col][0]:
        print("Increase {} by {} : {} ----> {}".format(col,(trial4[col][0]-trial_original[col][0]).round(4),trial_original[col][0].round(4),trial4[col][0].round(4)))

Recommended Changes for Specific Columns:

Increase X24 by 8.9388 : -0.0613 ----> 8.8775
Increase X5 by 8.6905 : -21.1645 ----> -12.474
Decrease X9 by 8.4422 : 1.7463 ----> -6.6959
Decrease X20 by 8.1939 : 8.7271 ----> 0.5332
Increase X37 by 7.9456 : 5.7568 ----> 13.7024
Increase X45 by 7.6973 : -2.6199 ----> 5.0774
Decrease X61 by 7.449 : 11.6132 ----> 4.1642
Increase X33 by 7.2007 : 5.8286 ----> 13.0293
Increase X60 by 6.9524 : 42.7095 ----> 49.6619
Decrease X58 by 6.7041 : 0.8845 ----> -5.8196
Decrease X43 by 6.4558 : 53.2617 ----> 46.8059
Decrease X15 by 6.2075 : -1434.4087 ----> -1440.6162
Increase X13 by 5.9592 : -0.0586 ----> 5.9006
Increase X55 by 5.7109 : -63.0291 ----> -57.3182
Increase X21 by 5.4626 : 1.008 ----> 6.4706
Decrease X30 by 5.2143 : 0.216 ----> -4.9983
Increase X8 by 4.966 : 1.7028 ----> 6.6688
Decrease X59 by 4.7177 : 0.1029 ----> -4.6148
Increase X27 by 4.4694 : -6.0297 ----> -1.5603
Decrease X2 by 4.2211 : 0.4036 ----> -3.8175

l = [specific_with_weight,all_with_weight]
title = ['For Specific Columns', 'For All Columns']

for i in range(2):
    plt.figure(figsize = (10,5))
    l[i].Probability.plot()
    plt.title(title[i],fontsize = 15,fontweight = 'bold')
    plt.xlabel("Iterations")
    plt.ylabel("Prediction Probability")
    plt.show()
    print("--------------------------------------------------------")

--------------------------------------------------------

--------------------------------------------------------

b1 = df_1[df_1['Y']==1].reset_index()
b1.drop(['index','Y'],axis = 1,inplace = True)

b2 = df_2[df_2['Y']==1].reset_index()
b2.drop(['index','Y'],axis = 1,inplace = True)

b3 = df_3[df_3['Y']==1].reset_index()
b3.drop(['index','Y'],axis = 1,inplace = True)

b4 = df_4[df_4['Y']==1].reset_index()
b4.drop(['index','Y'],axis = 1,inplace = True)

b5 = df_5[df_5['Y']==1].reset_index()
b5.drop(['index','Y'],axis = 1,inplace = True)

b_list = [b1,b2,b3,b4,b5]

for i in range(5):
    year = []
    for r in range(len(b_list[i])):
        year.append(5-i)
        
    b_list[i]['Year'] = year

final_b = pd.concat([b1,b2,b3,b4,b5]).reset_index()
final_b.drop(['index'],axis = 1,inplace = True)
final_b.head()

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64	Year
0	0.030372	0.87446	0.081671	1.09500	-76.581	0.000000	0.14357	1.96770	0.12554	0.044795	0.027926	5808.70	90.394	1.253767	0.038522	-7.51200	1.399700	3.9068	0.43801	159.77	2.3207	2.2822	2.0370	104.09000	-7.140300	169.480	79.083	0.062327	659.00	0.001575	0.241920	0.97971	0.034768	4.0379	4.6154	33.7230	5
1	0.032686	0.82775	0.020096	1.05040	-41.614	0.000000	0.20809	1.05460	0.17225	0.103510	0.054673	5240.00	38.788	1.137233	0.041231	3.34260	0.034556	4.4577	0.77163	143.82	2.5539	1.2290	1.0714	1.25650	0.465570	131.770	92.980	0.291660	576.55	0.041392	0.189770	0.96152	1.415700	9.4101	3.9256	1.8134	5
2	0.075803	0.76057	-0.199050	0.51163	-57.769	0.000000	0.31476	1.65730	0.23940	0.219640	0.054016	3101.00	10.247	0.999313	0.089522	4.33400	-0.251510	4.5686	0.45638	117.96	3.8397	2.0577	1.6783	0.56578	0.246790	43.779	33.532	1.629100	-7371.00	0.239020	0.316640	0.78417	1.196100	35.6190	10.8850	2.0941	5
3	0.009294	0.78609	0.078110	1.14330	-90.070	-0.017461	0.27211	0.99192	0.21391	0.020144	0.020257	14280.00	117.330	1.172367	0.010984	0.15579	0.207390	5.1955	0.71237	204.63	1.8074	1.2537	1.1054	1.41430	0.979610	198.830	81.501	0.029150	12253.00	0.019492	0.043451	0.89153	1.006600	3.1110	4.4785	2.6336	5
4	0.189570	0.58140	0.128860	1.22780	-24.097	0.000000	0.71951	3.61120	0.41832	0.424090	0.078400	749.55	33.273	1.161700	0.239900	7.52510	0.421860	3.5592	0.15863	61.89	5.9431	5.7823	3.6360	27.03100	0.064121	67.132	33.859	0.575870	467.00	0.076182	0.453170	0.92460	0.032309	10.9700	10.7800	11.8220	5

X_b = final_b.drop(['Year'],axis = 1)
y_b = final_b['Year']

X_b_train,X_b_test,y_b_train,y_b_test = train_test_split(X_b,y_b,test_size = 0.3,stratify = y_b)

rf_b = RandomForestClassifier()
rf_b.fit(X_b_train,y_b_train)
rf_b.score(X_b_test,y_b_test)

0.9851381966470322

def print_class(t):
    print("Predicted Class :",xgb.predict(t)[0])
    print("Predicted No of Years in which company will go bankrupt :",rf_b.predict(t)[0])
    print("Probability of it belonging to 1 class :",xgb.predict_proba(t)[0][1])
    print("Probability of it belonging to 0 class :",xgb.predict_proba(t)[0][0])

def change(t):
    prob = {
        'Iterations':[],
        'Probability':[]   
           }

    i = 0
    print("Initial probability :",xgb.predict_proba(t)[0][0])
    while(xgb.predict_proba(t)[0][0]<=0.85):
        for col,weight in ordered_corr_feature.items():
            if col in pos_all:
                t[col].values[0] -= 0.01*weight
            elif col in neg_all:
                t[col].values[0] += 0.01*weight   
        i = i+1
        prob['Iterations'].append(i)
        prob['Probability'].append(xgb.predict_proba(t)[0][0])
        print("After iteration {} probability is {}".format(i,xgb.predict_proba(t)[0][0]))

    print("\nNew predicted class is ",xgb.predict(t)[0])

    all_with_weight  = pd.DataFrame(prob)

def recommended_changes(t,o):
    print("Recommended Changes :\n")
    for col in ordered_corr_feature.keys():
        if t[col][0]<o[col][0]:
            print("Decrease {} by {} : {} ----> {}".format(col,(o[col][0]-t[col][0]).round(4),o[col][0].round(4),t[col][0].round(4)))
        elif t[col][0]>o[col][0]:
            print("Increase {} by {} : {} ----> {}".format(col,(t[col][0]-o[col][0]).round(4),o[col][0].round(4),t[col][0].round(4)))
    
    ogi = rf_b.predict(o)[0]
    now = rf_b.predict(t)[0]
    print("\nBankrputcy will be prevented for {} years".format(now-ogi))

#index = 15293 in year 4, bankruptcy in 2 years

o= {
    'X1':[0.029813],'X2':[0.620549],'X3':[0.130729],'X4':[1.303918],'X5':[-37.421452],'X6':[-0.01797],
    'X8':[0.623882],'X9':[2.891835],'X10':[0.379451],'X12':[0.091447],'X13':[0.037973],'X15':[3014.936546],
    'X20':[55.713088],'X21':[1.071164],'X24':[0.066523],'X27':[24.178054],'X28':[0.328504],'X29':[3.922093],
    'X30':[0.289212],'X32':[84.293403],'X33':[5.4052],'X34':[4.406651],'X36':[2.945935],'X37':[3.094242],
    'X41':[0.297637],'X43':[94.432057],'X44':[38.717267],'X45':[0.10293],'X55':[1042.825087],'X56':[0.046503],
    'X57':[0.07895],'X58':[0.980456],'X59':[0.246519],'X60':[10.309207],'X61':[10.850316],'X64':[8.586723]
}

os = {
    'Y':[1.0]
}

original2 = pd.DataFrame(o)
ans2 = pd.DataFrame(os)

display(original2)
display(ans2)

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
0	0.029813	0.620549	0.130729	1.303918	-37.421452	-0.01797	0.623882	2.891835	0.379451	0.091447	0.037973	3014.936546	55.713088	1.071164	0.066523	24.178054	0.328504	3.922093	0.289212	84.293403	5.4052	4.406651	2.945935	3.094242	0.297637	94.432057	38.717267	0.10293	1042.825087	0.046503	0.07895	0.980456	0.246519	10.309207	10.850316	8.586723

	Y
0	1.0

print_class(original2)

Predicted Class : 1
Predicted No of Years in which company will go bankrupt : 2
Probability of it belonging to 1 class : 0.8035066
Probability of it belonging to 0 class : 0.19649339

#index = 15293 in year 4, bankruptcy in 2 years

o= {
    'X1':[0.029813],'X2':[0.620549],'X3':[0.130729],'X4':[1.303918],'X5':[-37.421452],'X6':[-0.01797],
    'X8':[0.623882],'X9':[2.891835],'X10':[0.379451],'X12':[0.091447],'X13':[0.037973],'X15':[3014.936546],
    'X20':[55.713088],'X21':[1.071164],'X24':[0.066523],'X27':[24.178054],'X28':[0.328504],'X29':[3.922093],
    'X30':[0.289212],'X32':[84.293403],'X33':[5.4052],'X34':[4.406651],'X36':[2.945935],'X37':[3.094242],
    'X41':[0.297637],'X43':[94.432057],'X44':[38.717267],'X45':[0.10293],'X55':[1042.825087],'X56':[0.046503],
    'X57':[0.07895],'X58':[0.980456],'X59':[0.246519],'X60':[10.309207],'X61':[10.850316],'X64':[8.586723]
}

os = {
    'Y':[1.0]
}

trial2 = pd.DataFrame(o)
ans2 = pd.DataFrame(os)

display(trial2)
display(ans2)

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
0	0.029813	0.620549	0.130729	1.303918	-37.421452	-0.01797	0.623882	2.891835	0.379451	0.091447	0.037973	3014.936546	55.713088	1.071164	0.066523	24.178054	0.328504	3.922093	0.289212	84.293403	5.4052	4.406651	2.945935	3.094242	0.297637	94.432057	38.717267	0.10293	1042.825087	0.046503	0.07895	0.980456	0.246519	10.309207	10.850316	8.586723

	Y
0	1.0

change(trial2)

Initial probability : 0.19649339
After iteration 1 probability is 0.17339712381362915
After iteration 2 probability is 0.06095850467681885
After iteration 3 probability is 0.0410577654838562
After iteration 4 probability is 0.0361141562461853
After iteration 5 probability is 0.03196185827255249
After iteration 6 probability is 0.03196185827255249
After iteration 7 probability is 0.025317490100860596
After iteration 8 probability is 0.03397786617279053
After iteration 9 probability is 0.03495579957962036
After iteration 10 probability is 0.026466846466064453
After iteration 11 probability is 0.01914048194885254
After iteration 12 probability is 0.01914048194885254
After iteration 13 probability is 0.01415550708770752
After iteration 14 probability is 0.01415550708770752
After iteration 15 probability is 0.01415550708770752
After iteration 16 probability is 0.02010047435760498
After iteration 17 probability is 0.025288820266723633
After iteration 18 probability is 0.024027228355407715
After iteration 19 probability is 0.029031991958618164
After iteration 20 probability is 0.012719988822937012
After iteration 21 probability is 0.01015251874923706
After iteration 22 probability is 0.00893324613571167
After iteration 23 probability is 0.008517086505889893
After iteration 24 probability is 0.008517086505889893
After iteration 25 probability is 0.008517086505889893
After iteration 26 probability is 0.008517086505889893
After iteration 27 probability is 0.008517086505889893
After iteration 28 probability is 0.008517086505889893
After iteration 29 probability is 0.007475674152374268
After iteration 30 probability is 0.007475674152374268
After iteration 31 probability is 0.007475674152374268
After iteration 32 probability is 0.007475674152374268
After iteration 33 probability is 0.007475674152374268
After iteration 34 probability is 0.007475674152374268
After iteration 35 probability is 0.007475674152374268
After iteration 36 probability is 0.0067331790924072266
After iteration 37 probability is 0.0062410831451416016
After iteration 38 probability is 0.0062410831451416016
After iteration 39 probability is 0.0062410831451416016
After iteration 40 probability is 0.0062410831451416016
After iteration 41 probability is 0.0062410831451416016
After iteration 42 probability is 0.004724860191345215
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After iteration 170 probability is 0.03328907489776611
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After iteration 259 probability is 0.23080229759216309
After iteration 260 probability is 0.23080229759216309
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After iteration 262 probability is 0.5863721370697021
After iteration 263 probability is 0.6444447040557861
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After iteration 265 probability is 0.6863798499107361
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After iteration 270 probability is 0.6293438076972961
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After iteration 272 probability is 0.6583338975906372
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After iteration 275 probability is 0.6583338975906372
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After iteration 281 probability is 0.6426905393600464
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After iteration 305 probability is 0.5612245202064514
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After iteration 325 probability is 0.5845344662666321
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After iteration 333 probability is 0.561577320098877
After iteration 334 probability is 0.561577320098877
After iteration 335 probability is 0.557432234287262
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After iteration 380 probability is 0.6622508764266968
After iteration 381 probability is 0.6391422152519226
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After iteration 410 probability is 0.653333306312561
After iteration 411 probability is 0.653333306312561
After iteration 412 probability is 0.8002331256866455
After iteration 413 probability is 0.8002331256866455
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After iteration 429 probability is 0.8002331256866455
After iteration 430 probability is 0.8002331256866455
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After iteration 449 probability is 0.8002331256866455
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After iteration 452 probability is 0.769716203212738
After iteration 453 probability is 0.769716203212738
After iteration 454 probability is 0.769716203212738
After iteration 455 probability is 0.769716203212738
After iteration 456 probability is 0.8349217772483826
After iteration 457 probability is 0.8770322203636169

New predicted class is  0

recommended_changes(trial2,original2)

Recommended Changes :

Increase X24 by 1.6452 : 0.0665 ----> 1.7117
Increase X5 by 1.5995 : -37.4215 ----> -35.822
Decrease X9 by 1.5538 : 2.8918 ----> 1.338
Decrease X20 by 1.5081 : 55.7131 ----> 54.205
Increase X37 by 1.4624 : 3.0942 ----> 4.5566
Increase X45 by 1.4167 : 0.1029 ----> 1.5196
Decrease X61 by 1.371 : 10.8503 ----> 9.4793
Increase X33 by 1.3253 : 5.4052 ----> 6.7305
Increase X60 by 1.2796 : 10.3092 ----> 11.5888
Decrease X58 by 1.2339 : 0.9805 ----> -0.2534
Decrease X43 by 1.1882 : 94.4321 ----> 93.2439
Decrease X15 by 1.1425 : 3014.9365 ----> 3013.794
Increase X13 by 1.0968 : 0.038 ----> 1.1348
Increase X55 by 1.0511 : 1042.8251 ----> 1043.8762
Increase X21 by 1.0054 : 1.0712 ----> 2.0766
Decrease X30 by 0.9597 : 0.2892 ----> -0.6705
Increase X8 by 0.914 : 0.6239 ----> 1.5379
Decrease X59 by 0.8683 : 0.2465 ----> -0.6218
Increase X27 by 0.8226 : 24.1781 ----> 25.0007
Decrease X2 by 0.7769 : 0.6205 ----> -0.1564
Decrease X36 by 0.7312 : 2.9459 ----> 2.2147
Increase X34 by 0.6855 : 4.4067 ----> 5.0922
Increase X57 by 0.6398 : 0.079 ----> 0.7187
Increase X44 by 0.5941 : 38.7173 ----> 39.3114
Increase X29 by 0.5484 : 3.9221 ----> 4.4705
Increase X3 by 0.5027 : 0.1307 ----> 0.6334
Increase X12 by 0.457 : 0.0914 ----> 0.5484
Increase X6 by 0.4113 : -0.018 ----> 0.3933
Increase X1 by 0.3199 : 0.0298 ----> 0.3497
Decrease X32 by 0.2742 : 84.2934 ----> 84.0192
Increase X56 by 0.2285 : 0.0465 ----> 0.275
Increase X28 by 0.1828 : 0.3285 ----> 0.5113
Increase X4 by 0.1371 : 1.3039 ----> 1.441
Increase X41 by 0.0914 : 0.2976 ----> 0.389
Increase X10 by 0.0457 : 0.3795 ----> 0.4252

Bankrputcy will be prevented for 2 years

#index = 8442 in year 5, bankruptcy in 1 year

o= {
    'X1':[-0.064781],'X2':[0.868238],'X3':[0.377035],'X4':[2.030202],'X5':[-78.072744],'X6':[-0.154882],
    'X8':[0.161149],'X9':[1.095834],'X10':[0.131801],'X12':[-0.17711],'X13':[-0.058658],'X15':[-4294.594801],
    'X20':[205.847482],'X21':[1.1074],'X24':[-0.04189],'X27':[-0.480109],'X28':[1.46844],'X29':[3.900828],
    'X30':[0.790543],'X32':[134.523499],'X33':[3.078083],'X34':[1.307089],'X36':[1.106799],'X37':[0.374988],
    'X41':[-1.457761],'X43':[246.146521],'X44':[40.197123],'X45':[-0.104939],'X55':[3000.898689],'X56':[0.093011],
    'X57':[-0.515013],'X58':[0.902529],'X59':[4.046054],'X60':[1.773161],'X61':[9.085926],'X64':[4.269355]
}

os = {
    'Y':[1.0]
}

original3 = pd.DataFrame(o)
ans3 = pd.DataFrame(os)

display(original3)
display(ans2)

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
0	-0.064781	0.868238	0.377035	2.030202	-78.072744	-0.154882	0.161149	1.095834	0.131801	-0.17711	-0.058658	-4294.594801	205.847482	1.1074	-0.04189	-0.480109	1.46844	3.900828	0.790543	134.523499	3.078083	1.307089	1.106799	0.374988	-1.457761	246.146521	40.197123	-0.104939	3000.898689	0.093011	-0.515013	0.902529	4.046054	1.773161	9.085926	4.269355

	Y
0	1.0

#index = 8442 in year 5, bankruptcy in 1 year

o= {
    'X1':[-0.064781],'X2':[0.868238],'X3':[0.377035],'X4':[2.030202],'X5':[-78.072744],'X6':[-0.154882],
    'X8':[0.161149],'X9':[1.095834],'X10':[0.131801],'X12':[-0.17711],'X13':[-0.058658],'X15':[-4294.594801],
    'X20':[205.847482],'X21':[1.1074],'X24':[-0.04189],'X27':[-0.480109],'X28':[1.46844],'X29':[3.900828],
    'X30':[0.790543],'X32':[134.523499],'X33':[3.078083],'X34':[1.307089],'X36':[1.106799],'X37':[0.374988],
    'X41':[-1.457761],'X43':[246.146521],'X44':[40.197123],'X45':[-0.104939],'X55':[3000.898689],'X56':[0.093011],
    'X57':[-0.515013],'X58':[0.902529],'X59':[4.046054],'X60':[1.773161],'X61':[9.085926],'X64':[4.269355]
}

os = {
    'Y':[1.0]
}

trial3 = pd.DataFrame(o)
ans3 = pd.DataFrame(os)

display(trial3)
display(ans2)

	X1	X2	X3	X4	X5	X6	X8	X9	X10	X12	X13	X15	X20	X21	X24	X27	X28	X29	X30	X32	X33	X34	X36	X37	X41	X43	X44	X45	X55	X56	X57	X58	X59	X60	X61	X64
0	-0.064781	0.868238	0.377035	2.030202	-78.072744	-0.154882	0.161149	1.095834	0.131801	-0.17711	-0.058658	-4294.594801	205.847482	1.1074	-0.04189	-0.480109	1.46844	3.900828	0.790543	134.523499	3.078083	1.307089	1.106799	0.374988	-1.457761	246.146521	40.197123	-0.104939	3000.898689	0.093011	-0.515013	0.902529	4.046054	1.773161	9.085926	4.269355

	Y
0	1.0

print_class(original3)

Predicted Class : 1
Predicted No of Years in which company will go bankrupt : 1
Probability of it belonging to 1 class : 0.99536693
Probability of it belonging to 0 class : 0.004633069

change(trial3)

Initial probability : 0.004633069
After iteration 1 probability is 0.004663527011871338
After iteration 2 probability is 0.004663527011871338
After iteration 3 probability is 0.004663527011871338
After iteration 4 probability is 0.004663527011871338
After iteration 5 probability is 0.005418956279754639
After iteration 6 probability is 0.00465315580368042
After iteration 7 probability is 0.00465315580368042
After iteration 8 probability is 0.00465315580368042
After iteration 9 probability is 0.004464268684387207
After iteration 10 probability is 0.004464268684387207
After iteration 11 probability is 0.004464268684387207
After iteration 12 probability is 0.004464268684387207
After iteration 13 probability is 0.005296051502227783
After iteration 14 probability is 0.005296051502227783
After iteration 15 probability is 0.0046135783195495605
After iteration 16 probability is 0.0046135783195495605
After iteration 17 probability is 0.005089104175567627
After iteration 18 probability is 0.005089104175567627
After iteration 19 probability is 0.005089104175567627
After iteration 20 probability is 0.005089104175567627
After iteration 21 probability is 0.005803346633911133
After iteration 22 probability is 0.005803346633911133
After iteration 23 probability is 0.016418814659118652
After iteration 24 probability is 0.012962698936462402
After iteration 25 probability is 0.012962698936462402
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After iteration 27 probability is 0.01323556900024414
After iteration 28 probability is 0.01323556900024414
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After iteration 36 probability is 0.013002395629882812
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After iteration 38 probability is 0.019425511360168457
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After iteration 40 probability is 0.019425511360168457
After iteration 41 probability is 0.017122924327850342
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After iteration 60 probability is 0.02382451295852661
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After iteration 98 probability is 0.06187182664871216
After iteration 99 probability is 0.06187182664871216
After iteration 100 probability is 0.05225163698196411
After iteration 101 probability is 0.06554615497589111
After iteration 102 probability is 0.06554615497589111
After iteration 103 probability is 0.06554615497589111
After iteration 104 probability is 0.06554615497589111
After iteration 105 probability is 0.0663190484046936
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After iteration 107 probability is 0.05811721086502075
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After iteration 112 probability is 0.056852877140045166
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After iteration 115 probability is 0.056852877140045166
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After iteration 117 probability is 0.056852877140045166
After iteration 118 probability is 0.056852877140045166
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After iteration 120 probability is 0.10516166687011719
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After iteration 123 probability is 0.10320079326629639
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After iteration 125 probability is 0.16709572076797485
After iteration 126 probability is 0.16709572076797485
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After iteration 131 probability is 0.13052833080291748
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After iteration 133 probability is 0.22561496496200562
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After iteration 144 probability is 0.15416795015335083
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After iteration 149 probability is 0.15416795015335083
After iteration 150 probability is 0.15416795015335083
After iteration 151 probability is 0.15416795015335083
After iteration 152 probability is 0.15416795015335083
After iteration 153 probability is 0.15416795015335083
After iteration 154 probability is 0.15416795015335083
After iteration 155 probability is 0.15416795015335083
After iteration 156 probability is 0.17709791660308838
After iteration 157 probability is 0.17709791660308838
After iteration 158 probability is 0.17709791660308838
After iteration 159 probability is 0.17709791660308838
After iteration 160 probability is 0.17709791660308838
After iteration 161 probability is 0.22412419319152832
After iteration 162 probability is 0.22412419319152832
After iteration 163 probability is 0.22412419319152832
After iteration 164 probability is 0.2408391237258911
After iteration 165 probability is 0.36123377084732056
After iteration 166 probability is 0.5506731271743774
After iteration 167 probability is 0.47275739908218384
After iteration 168 probability is 0.45784902572631836
After iteration 169 probability is 0.397053062915802
After iteration 170 probability is 0.44450175762176514
After iteration 171 probability is 0.44450175762176514
After iteration 172 probability is 0.4894157648086548
After iteration 173 probability is 0.7224916219711304
After iteration 174 probability is 0.7442952394485474
After iteration 175 probability is 0.7376128435134888
After iteration 176 probability is 0.7312698364257812
After iteration 177 probability is 0.7312698364257812
After iteration 178 probability is 0.7763397693634033
After iteration 179 probability is 0.8096346259117126
After iteration 180 probability is 0.8096346259117126
After iteration 181 probability is 0.8096346259117126
After iteration 182 probability is 0.8096346259117126
After iteration 183 probability is 0.8096346259117126
After iteration 184 probability is 0.796862781047821
After iteration 185 probability is 0.7462730407714844
After iteration 186 probability is 0.7462730407714844
After iteration 187 probability is 0.7462730407714844
After iteration 188 probability is 0.7462730407714844
After iteration 189 probability is 0.7462730407714844
After iteration 190 probability is 0.7462730407714844
After iteration 191 probability is 0.7462730407714844
After iteration 192 probability is 0.7462730407714844
After iteration 193 probability is 0.7462730407714844
After iteration 194 probability is 0.7462730407714844
After iteration 195 probability is 0.7462730407714844
After iteration 196 probability is 0.7462730407714844
After iteration 197 probability is 0.7462730407714844
After iteration 198 probability is 0.7669545412063599
After iteration 199 probability is 0.7669545412063599
After iteration 200 probability is 0.7669545412063599
After iteration 201 probability is 0.7669545412063599
After iteration 202 probability is 0.7669545412063599
After iteration 203 probability is 0.7669545412063599
After iteration 204 probability is 0.7669545412063599
After iteration 205 probability is 0.7669545412063599
After iteration 206 probability is 0.7669545412063599
After iteration 207 probability is 0.7669545412063599
After iteration 208 probability is 0.7816798686981201
After iteration 209 probability is 0.7816798686981201
After iteration 210 probability is 0.811842679977417
After iteration 211 probability is 0.8209209442138672
After iteration 212 probability is 0.8209209442138672
After iteration 213 probability is 0.8209209442138672
After iteration 214 probability is 0.8161531090736389
After iteration 215 probability is 0.8161531090736389
After iteration 216 probability is 0.8161531090736389
After iteration 217 probability is 0.8161531090736389
After iteration 218 probability is 0.8161531090736389
After iteration 219 probability is 0.8917586207389832

New predicted class is  0

recommended_changes(trial3,original3)

Recommended Changes :

Increase X24 by 0.7884 : -0.0419 ----> 0.7465
Increase X5 by 0.7665 : -78.0727 ----> -77.3062
Decrease X9 by 0.7446 : 1.0958 ----> 0.3512
Decrease X20 by 0.7227 : 205.8475 ----> 205.1248
Increase X37 by 0.7008 : 0.375 ----> 1.0758
Increase X45 by 0.6789 : -0.1049 ----> 0.574
Decrease X61 by 0.657 : 9.0859 ----> 8.4289
Increase X33 by 0.6351 : 3.0781 ----> 3.7132
Increase X60 by 0.6132 : 1.7732 ----> 2.3864
Decrease X58 by 0.5913 : 0.9025 ----> 0.3112
Decrease X43 by 0.5694 : 246.1465 ----> 245.5771
Decrease X15 by 0.5475 : -4294.5948 ----> -4295.1423
Increase X13 by 0.5256 : -0.0587 ----> 0.4669
Increase X55 by 0.5037 : 3000.8987 ----> 3001.4024
Increase X21 by 0.4818 : 1.1074 ----> 1.5892
Decrease X30 by 0.4599 : 0.7905 ----> 0.3306
Increase X8 by 0.438 : 0.1611 ----> 0.5991
Decrease X59 by 0.4161 : 4.0461 ----> 3.63
Increase X27 by 0.3942 : -0.4801 ----> -0.0859
Decrease X2 by 0.3723 : 0.8682 ----> 0.4959
Decrease X36 by 0.3504 : 1.1068 ----> 0.7564
Increase X34 by 0.3285 : 1.3071 ----> 1.6356
Increase X57 by 0.3066 : -0.515 ----> -0.2084
Increase X44 by 0.2847 : 40.1971 ----> 40.4818
Increase X29 by 0.2628 : 3.9008 ----> 4.1636
Increase X3 by 0.2409 : 0.377 ----> 0.6179
Increase X12 by 0.219 : -0.1771 ----> 0.0419
Increase X6 by 0.1971 : -0.1549 ----> 0.0422
Increase X1 by 0.1533 : -0.0648 ----> 0.0885
Decrease X32 by 0.1314 : 134.5235 ----> 134.3921
Increase X56 by 0.1095 : 0.093 ----> 0.2025
Increase X28 by 0.0876 : 1.4684 ----> 1.556
Increase X4 by 0.0657 : 2.0302 ----> 2.0959
Increase X41 by 0.0438 : -1.4578 ----> -1.414
Increase X10 by 0.0219 : 0.1318 ----> 0.1537

Bankrputcy will be prevented for 2 years